Paper Citation Record · LEDGER

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective

As of 18 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 2 inbound Pith citation observations for arXiv:2501.04718.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.04718 v2

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Outbound references

Observation ab4135ec-988c-4e7c-848b-8ba8a687d505 · outbound

This paper cites Single-cell epigenomics: techniques and emerging applications,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Single-cell epigenomics: techniques and emerging applications,

Reference 1

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This paper cites Single-cell genome sequenc- ing: current state of the science,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Single-cell genome sequenc- ing: current state of the science,

Reference 2

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This paper cites Building a lineage from single cells: genetic techniques for cell lineage tracking,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Building a lineage from single cells: genetic techniques for cell lineage tracking,

Reference 3

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Observation 480a40ce-32dc-4c2f-bf5c-ed216a418c2a · outbound

This paper cites Gut microbiota and tuberculosis,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Gut microbiota and tuberculosis,

Reference 4

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This paper cites Single-cell multiomics: technologies and data analysis methods,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Single-cell multiomics: technologies and data analysis methods,

Reference 5

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Observation 2faec7c2-2064-4e85-83b8-2908915a2bb5 · outbound

This paper cites The technological landscape and applications of single-cell multi-omics,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective The technological landscape and applications of single-cell multi-omics,

Reference 6

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This paper cites Topological and geometric analysis of cell states in single-cell transcriptomic data,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Topological and geometric analysis of cell states in single-cell transcriptomic data,

Reference 7

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This paper cites Exploring tissue architecture using spatial transcriptomics,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Exploring tissue architecture using spatial transcriptomics,

Reference 8

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This paper cites Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics,

Reference 9

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Observation acae5fa3-a1f7-48e2-a435-f8827261f28a · outbound

This paper cites Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data,

Reference 10

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This paper cites scgpt: Towards building a foundation model for single-cell multi-omics using generative ai,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective scgpt: Towards building a foundation model for single-cell multi-omics using generative ai,

Reference 11

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This paper cites Transfer learning enables predictions in network biology,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Transfer learning enables predictions in network biology,

Reference 12

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This paper cites Genecompass: deciphering universal gene regulatory mechanisms with a knowledge-informed cross-species foundation model,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Genecompass: deciphering universal gene regulatory mechanisms with a knowledge-informed cross-species foundation model,

Reference 13

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This paper cites Scihorizon: Benchmarking ai-for- science readiness from scientific data to large language models,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Scihorizon: Benchmarking ai-for- science readiness from scientific data to large language models,

Reference 14

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Observation c9f580cb-b4f8-4e3a-9c2d-eccb145af4c2 · outbound

This paper cites Challenges in unsupervised clustering of single-cell rna-seq data,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Challenges in unsupervised clustering of single-cell rna-seq data,

Reference 15

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This paper cites Sparse pca via l2,p- norm regularization for unsupervised feature selection,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Sparse pca via l2,p- norm regularization for unsupervised feature selection,

Reference 16

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This paper cites Principal components analysis (pca),.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Principal components analysis (pca),

Reference 17

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This paper cites The art of using t-sne for single-cell transcriptomics,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective The art of using t-sne for single-cell transcriptomics,

Reference 18

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This paper cites Dimensionality reduction for visualizing single-cell data using umap,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Dimensionality reduction for visualizing single-cell data using umap,

Reference 19

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This paper cites Fold change and p-value cutoffs significantly alter microarray interpretations,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Fold change and p-value cutoffs significantly alter microarray interpretations,

Reference 20

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This paper cites Evaluation of tools for highly variable gene discovery from single-cell rna-seq data,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Evaluation of tools for highly variable gene discovery from single-cell rna-seq data,

Reference 21

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This paper cites Comprehensive integration of single-cell data,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Comprehensive integration of single-cell data,

Reference 22

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This paper cites Benchmarking atlas-level data integration in single- cell genomics,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Benchmarking atlas-level data integration in single- cell genomics,

Reference 23

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This paper cites Predicting cellular responses to novel drug perturbations at a single-cell resolution,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Predicting cellular responses to novel drug perturbations at a single-cell resolution,

Reference 24

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This paper cites xtrimogene: An efficient and scalable representation learner for single-cell rna-seq data,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective xtrimogene: An efficient and scalable representation learner for single-cell rna-seq data,

Reference 25

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This paper cites Cellbrf: a feature selection method for single-cell clustering using cell balance and random forest,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Cellbrf: a feature selection method for single-cell clustering using cell balance and random forest,

Reference 26

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This paper cites genebasis: an iterative approach for unsupervised selection of targeted gene panels from scrna-seq,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective genebasis: an iterative approach for unsupervised selection of targeted gene panels from scrna-seq,

Reference 27

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This paper cites Highly regional genes: graph-based gene selection for single-cell rna-seq data,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Highly regional genes: graph-based gene selection for single-cell rna-seq data,

Reference 28

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This paper cites Single-cell signature explorer for comprehensive visualization of single cell signatures across scrna-seq datasets,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Single-cell signature explorer for comprehensive visualization of single cell signatures across scrna-seq datasets,

Reference 29

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This paper cites Alphaflow: au- tonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Alphaflow: au- tonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning,

Reference 30

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This paper cites A survey on deep reinforcement learning for data processing and analytics,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective A survey on deep reinforcement learning for data processing and analytics,

Reference 31

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This paper cites Many-objective jaccard- based evolutionary feature selection for high-dimensional imbal- anced data classification,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Many-objective jaccard- based evolutionary feature selection for high-dimensional imbal- anced data classification,

Reference 32

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This paper cites sccompass: An integrated cross-species scrna-seq database for ai-ready,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective sccompass: An integrated cross-species scrna-seq database for ai-ready,

Reference 33

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This paper cites Voting from nearest tasks: Meta-vote pruning of pre-trained models for downstream tasks,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Voting from nearest tasks: Meta-vote pruning of pre-trained models for downstream tasks,

Reference 35

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This paper cites Prioritized Experience Replay.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Prioritized Experience Replay

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Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Actor-critic algorithms,

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Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Actor-critic models and the a3c: The asynchronous advantage actor-critic model,

Reference 38

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This paper cites Gene expression omnibus: Ncbi gene expression and hybridization array data repository,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Gene expression omnibus: Ncbi gene expression and hybridization array data repository,

Reference 39

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This paper cites Arrayexpress—a public repository for microarray gene expression data at the ebi,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Arrayexpress—a public repository for microarray gene expression data at the ebi,

Reference 40

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This paper cites The sequence read archive,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective The sequence read archive,

Reference 41

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This paper cites Comprehensive single-cell transcriptional profiling of a multicellular organism,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Comprehensive single-cell transcriptional profiling of a multicellular organism,

Reference 42

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This paper cites Mapping the mouse cell atlas by microwell-seq,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Mapping the mouse cell atlas by microwell-seq,

Reference 43

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correction dated 2018-05-17. Source: crossref record 10.1016/j.cell.2018.05.012->10.1016/j.cell.2018.02.001:correction, observed 2026-07-11T03:15:55.66629+00:00. This notice travels one citation hop only.

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Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective scgen predicts single-cell perturbation responses,

Reference 44

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This paper cites Spatial reconstruction of single-cell gene expression data,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Spatial reconstruction of single-cell gene expression data,

Reference 45

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This paper cites 10.1162/153244303321897735,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective 10.1162/153244303321897735,

Reference 46

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Observation 42277765-6fe5-4e39-b8fa-9e3352088d29 · outbound

This paper cites Objective criteria for the evaluation of clustering methods,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Objective criteria for the evaluation of clustering methods,

Reference 47

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:39:24.042247Z

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Observation 42d0f9c2-de56-4934-bc75-d433523812a1 · outbound

This paper cites Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:23.573113Z

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Observation c8e325d3-58f9-420a-a682-2b4cd5b357f2 · outbound

This paper cites Massively parallel digital transcriptional profiling of single cells,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Massively parallel digital transcriptional profiling of single cells,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.539594Z

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Observation a0750861-49bf-4180-a0a0-c082c546e1ae · outbound

This paper cites Analytic pearson residuals for normalization of single-cell rna-seq umi data,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Analytic pearson residuals for normalization of single-cell rna-seq umi data,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.518461Z

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Observation b8415088-9b23-4e4e-86a8-cf82202e8693 · outbound

This paper cites Gene panel selection for targeted spatial transcriptomics,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Gene panel selection for targeted spatial transcriptomics,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.499722Z

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Observation 3cfade1b-6b24-4c09-aef6-ffdbb54ae9f5 · outbound

This paper cites scgist: gene panel design for spatial transcriptomics with prioritized gene sets,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective scgist: gene panel design for spatial transcriptomics with prioritized gene sets,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.481310Z

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Observation fb5de115-7d1c-42d7-8c71-7c2151318bb9 · outbound

This paper cites Random forests,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Random forests,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:23.598838Z

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Observation bba63f62-72ca-4c8f-b11e-ed982d282c4f · outbound

This paper cites Support vector machine,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Support vector machine,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.447739Z

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Observation 881e0ec9-ce79-46b6-ac79-fa21a04fa72e · outbound

This paper cites Recursive feature elimination with random forest for ptr-ms analysis of agroindustrial products,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Recursive feature elimination with random forest for ptr-ms analysis of agroindustrial products,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.430294Z

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Observation 998adc0b-9380-40db-a32f-e2bc9246c066 · outbound

This paper cites A comparative study on feature selection in text categorization,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective A comparative study on feature selection in text categorization,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.410811Z

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Observation 73957815-3469-459a-b060-64b320becf2e · outbound

This paper cites M3drop: dropout-based feature selection for scrnaseq,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective M3drop: dropout-based feature selection for scrnaseq,

Reference 57

Resolution: malformed identifier; no resolver link, observed 2026-08-10T22:39:23.620370Z

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Observation cc7ffbbc-1e8b-42df-b515-771239785805 · outbound

This paper cites Feats: feature selection-based clustering of single-cell rna-seq data,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Feats: feature selection-based clustering of single-cell rna-seq data,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.390886Z

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Observation 3ed90899-aedc-4a93-a2ac-103060a4d974 · outbound

This paper cites Accurate feature selection improves single-cell rna-seq cell clustering,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Accurate feature selection improves single-cell rna-seq cell clustering,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.369666Z

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Observation 76fef94a-ac6d-4258-83cf-48702ef3510a · outbound

This paper cites A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell rna sequencing,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell rna sequencing,

Reference 60

Resolution: verified exact; doi, observed 2026-08-10T22:39:23.775834Z

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Observation 5a31376a-2111-469a-9f85-e90fa0fa5368 · outbound

This paper cites Reinforcement learning: An introduction,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Reinforcement learning: An introduction,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:23.653613Z

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Observation 518ed0b2-3f19-41df-8f69-4af9fe802649 · outbound

This paper cites A review of safe reinforcement learning: Methods, theories and applications,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective A review of safe reinforcement learning: Methods, theories and applications,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.322868Z

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Observation 4042cbcd-0df2-4f38-8a6a-a30564977a41 · outbound

This paper cites Structured cooperative reinforcement learning with time-varying composite action space,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Structured cooperative reinforcement learning with time-varying composite action space,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.301118Z

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Observation e376e05c-d516-42d1-90ca-29a567e1c6a6 · outbound

This paper cites Fear-neuro-inspired reinforcement learning for safe autonomous driving,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Fear-neuro-inspired reinforcement learning for safe autonomous driving,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.278231Z

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Observation 51dae334-db23-4a32-9155-e3d9f04bda2a · outbound

This paper cites Efficient hierarchical stor- age management empowered by reinforcement learning,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Efficient hierarchical stor- age management empowered by reinforcement learning,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.254968Z

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Observation 2ac7a95b-9c14-4770-8945-7f12570d5f6e · outbound

This paper cites Reinforcement learning-enhanced shared-account cross-domain sequential recom- mendation,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Reinforcement learning-enhanced shared-account cross-domain sequential recom- mendation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.233653Z

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Observation 31966fe2-dc15-45d1-9db6-75f4de1a29f2 · outbound

This paper cites Learning from atypical behavior: temporary interest aware recommendation based on reinforcement learning,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Learning from atypical behavior: temporary interest aware recommendation based on reinforcement learning,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.214020Z

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Observation ce835065-93b9-4296-875c-21099e6df625 · outbound

This paper cites Large language models are semi-parametric reinforcement learning agents,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Large language models are semi-parametric reinforcement learning agents,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.195122Z

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Observation ea3d66c1-4502-4884-9094-5d9ac6809c20 · outbound

This paper cites Multi-agent reinforcement learning is a sequence modeling prob- lem,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Multi-agent reinforcement learning is a sequence modeling prob- lem,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.176948Z

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Observation e876466d-293f-4db9-8572-edd6c1bd3c9f · outbound

This paper cites Automated feature selection: A reinforcement learning perspective,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Automated feature selection: A reinforcement learning perspective,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.156297Z

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Observation 9994a9c6-6222-4ce5-894d-c8e918e7b8a6 · outbound

This paper cites Mo-mix: Multi-objective multi-agent cooperative decision-making with deep reinforcement learning,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Mo-mix: Multi-objective multi-agent cooperative decision-making with deep reinforcement learning,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.137765Z

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Observation 9fd236c9-98dc-4958-a216-578532bfc107 · outbound

This paper cites Traceable group-wise self-optimizing feature transformation learning: A dual optimization perspective,.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Traceable group-wise self-optimizing feature transformation learning: A dual optimization perspective,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.117006Z

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Observation 337225b3-a878-4764-8118-5004642bed87 · outbound

This paper cites Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:39:23.944693Z

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Observation 8e6c7f7f-e552-4f54-9c7a-c64ede0a7f29 · outbound

This paper cites supervisor, the deputy director of Computer Network Information Center, Chinese Academy of Sciences.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective supervisor, the deputy director of Computer Network Information Center, Chinese Academy of Sciences

Reference 77

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T22:39:24.080537Z

Source-reported events for the cited work

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Observation cf4b03fe-faee-4525-ab9d-918dcdea7182 · outbound

This paper cites He also won the CVPR UG2+ challenge in 2021 and the IJCAI competi- tion on repeated buyers prediction in 2015.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective He also won the CVPR UG2+ challenge in 2021 and the IJCAI competi- tion on repeated buyers prediction in 2015

Reference 2006

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:24.098487Z

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Observation 25f4d05f-bfcf-42ac-a421-9ffc1c06f66f · outbound

This paper cites Available: http://dx.doi.org/10.1093/bib/bbaa306.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Available: http://dx.doi.org/10.1093/bib/bbaa306

Reference 2020

Resolution: verified exact; doi, observed 2026-08-10T22:39:23.810658Z

Source-reported events for the cited work

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Observation 705abe79-bf5e-4e61-96fa-056dc006a9a9 · outbound

This paper cites Available: http://dx.doi.org/10.1093/bib/bbab034.

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective Available: http://dx.doi.org/10.1093/bib/bbab034

Reference 2021

Resolution: verified exact; doi, observed 2026-08-10T22:39:23.793187Z

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Pith citing papers

Observation 8013f6e3-1ba8-45df-96a6-724d82093a24 · inbound

Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation cites this paper.

Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective

Reference 166

Resolution: unresolved; no resolver link, observed 2026-08-10T19:10:51.164930Z

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Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective

Reference 275

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.275570Z

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