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Paper Citation Record · LEDGER

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints

As of 12 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2501.18650.

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

pith.paper-citation-record.v1
2501.18650 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:31:56.171953Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 657bde98-c267-4aa6-92d5-969e93bf9b1e · outbound

This paper cites A comparison of automatic cell identification methods for single- cell RNA sequencing data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A comparison of automatic cell identification methods for single- cell RNA sequencing data

Reference 1

Resolution
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Observation 9b71a2f1-c950-426f-a061-6798e7ef3f74 · outbound

This paper cites scPred: accurate supervised method for cell-type clas- sification from single-cell RNA-seq data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints scPred: accurate supervised method for cell-type clas- sification from single-cell RNA-seq data

Reference 2

Resolution
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Observation 2b8ad281-16a2-4f10-99e5-3fd649018470 · outbound

This paper cites flowMatch: Cell population matching and meta-clustering in Flow Cytometry.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints flowMatch: Cell population matching and meta-clustering in Flow Cytometry

Reference 3

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Observation 963fe428-60e7-4e60-a557-3e1a97870b3e · outbound

This paper cites Low-avidity CD4+ T cell responses to SARS-CoV-2 in unexposed individuals and humans with severe COVID-19.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Low-avidity CD4+ T cell responses to SARS-CoV-2 in unexposed individuals and humans with severe COVID-19

Reference 4

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Observation 2ffefb13-b341-46fe-9b8b-ff5bb3efc846 · outbound

This paper cites A Single-Cell Transcriptomic Map of the Human and Mouse Pan- creas Reveals Inter- and Intra-cell Population Structure.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A Single-Cell Transcriptomic Map of the Human and Mouse Pan- creas Reveals Inter- and Intra-cell Population Structure

Reference 5

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Observation 69655c15-7c52-4b7f-8a50-9fbfffd2290f · outbound

This paper cites Iterative Bregman projections for regularized transportation problems.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Iterative Bregman projections for regularized transportation problems

Reference 6

Resolution
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Observation 92f64205-356e-41d6-9f0e-be0e7ba338cd · outbound

This paper cites A unified computational framework for single-cell data integration with optimal transport.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A unified computational framework for single-cell data integration with optimal transport

Reference 7

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Observation 899e9836-2c12-4f38-b146-5c0b25299112 · outbound

This paper cites Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods

Reference 8

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Observation 62f70c4f-2e6b-4fbd-9477-1ab8f9f71287 · outbound

This paper cites POT: Python Optimal Transport.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints POT: Python Optimal Transport

Reference 9

Resolution
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Observation ab68c968-0fb1-451c-84ff-cc20d9ce793e · outbound

This paper cites ClusterMap: compare multiple single cell RNA-Seq datasets across dif- ferent experimental conditions.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints ClusterMap: compare multiple single cell RNA-Seq datasets across dif- ferent experimental conditions

Reference 10

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Observation 27acdcef-1b38-4d4a-a70e-c5fd06e5e579 · outbound

This paper cites Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors

Reference 11

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Observation a63d5bbf-b163-41a8-ae28-3983b041b28a · outbound

This paper cites Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs

Reference 12

Resolution
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Observation 986b40d3-cd1c-4bda-800e-e3fe5779421e · outbound

This paper cites scMatch: a single-cell gene expres- sion profile annotation tool using reference datasets.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints scMatch: a single-cell gene expres- sion profile annotation tool using reference datasets

Reference 13

Resolution
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Observation 11c13918-a5fa-466d-92fe-ab05f2aea6a3 · outbound

This paper cites Evaluation of deep learning-based feature selection for single-cell RNA sequencing data analysis.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Evaluation of deep learning-based feature selection for single-cell RNA sequencing data analysis

Reference 14

Resolution
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Source-reported events for the cited work

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Observation 8b2cce5e-c808-460a-8d64-303ffab6f508 · outbound

This paper cites Optimal Transport improves cell- cell similarity inference in single-cell omics data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Optimal Transport improves cell- cell similarity inference in single-cell omics data

Reference 15

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Observation e3310a18-1c62-43ef-998c-9ad50a8db1cf · outbound

This paper cites Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data

Reference 16

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Observation 7247ae5a-df2e-4c23-90cb-fdf3393eec7c · outbound

This paper cites Stalled developmental programs at the root of pediatric brain tumors.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Stalled developmental programs at the root of pediatric brain tumors

Reference 17

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Observation 42bb48d9-3050-4ad6-a1e6-c3f2c99feb5e · outbound

This paper cites Bayesian approach to single- cell differential expression analysis.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Bayesian approach to single- cell differential expression analysis

Reference 18

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Observation b1e43b6d-abb8-4837-8704-adddfeceb7c3 · outbound

This paper cites Analysis of Technical and Biological Variability in Single-Cell RNA Sequencing.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Analysis of Technical and Biological Variability in Single-Cell RNA Sequencing

Reference 19

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Observation 671e4bc0-e769-4469-adc7-bbf23b63c915 · outbound

This paper cites Challenges in unsuper- vised clustering of single-cell RNA-seq data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Challenges in unsuper- vised clustering of single-cell RNA-seq data

Reference 20

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Observation 7023e8b9-d910-41aa-acb6-85a926ccecbe · outbound

This paper cites scmap - A tool for unsupervised projection of single cell RNA-seq data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints scmap - A tool for unsupervised projection of single cell RNA-seq data

Reference 21

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Observation 95037bf9-60dd-4375-bc91-e98e7e74865b · outbound

This paper cites Broad immune activation underlies shared set point signatures for vaccine responsiveness in healthy individuals and disease activity in patients with lupus.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Broad immune activation underlies shared set point signatures for vaccine responsiveness in healthy individuals and disease activity in patients with lupus

Reference 22

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Observation b60c1b4d-0e26-462c-a323-9c4273f1bec9 · outbound

This paper cites Single-cell transcriptomes identify human islet cell signatures and reveal cell-type–specific expression changes in type 2 diabetes.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Single-cell transcriptomes identify human islet cell signatures and reveal cell-type–specific expression changes in type 2 diabetes

Reference 23

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Observation eec3cf43-a795-4b5c-ba26-6d9ba0766371 · outbound

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Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Machine learning for cell type classification from single nucleus RNA sequencing data

Reference 24

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Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Optimal Transport with Relaxed Marginal Constraints

Reference 25

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Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A neural network-based method for exhaustive cell label assign- ment using single cell RNA-seq data

Reference 26

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Observation 8d728509-58ca-43f6-bf42-aafc19d6502b · outbound

This paper cites Multisource single-cell data integration by MA W barycenter for Gaussian mixture models.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Multisource single-cell data integration by MA W barycenter for Gaussian mixture models

Reference 27

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Observation 9de2408d-d228-47f4-8906-a0205cf2baa6 · outbound

This paper cites A comparison of batch effect removal methods for enhancement of predic- tion performance using MAQC-II microarray gene expression data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A comparison of batch effect removal methods for enhancement of predic- tion performance using MAQC-II microarray gene expression data

Reference 28

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Observation 73fe6549-4f40-47e2-81b6-dd610c227e57 · outbound

This paper cites Putative cell type discovery from single-cell gene expression data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Putative cell type discovery from single-cell gene expression data

Reference 29

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Observation 7162a031-05c6-470d-94ac-d9787e4bf10f · outbound

This paper cites Enabling reproducible re-analysis of single-cell data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Enabling reproducible re-analysis of single-cell data

Reference 30

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Observation 701cc686-24d2-47e5-b1a8-6a9464e70107 · outbound

This paper cites Reproducibility of Methods to Detect Differentially Expressed Genes from Single-Cell RNA Sequencing.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Reproducibility of Methods to Detect Differentially Expressed Genes from Single-Cell RNA Sequencing

Reference 31

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Observation 9eb503be-eaee-4299-b2e9-10c34e64b96c · outbound

This paper cites QFMatch: multidimensional flow and mass cytometry samples alignment.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints QFMatch: multidimensional flow and mass cytometry samples alignment

Reference 32

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Observation c07a5b7e-caeb-4f7a-ae3b-be0b1ba078b1 · outbound

This paper cites A comparison of marker gene selection methods for single-cell RNA sequencing data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A comparison of marker gene selection methods for single-cell RNA sequencing data

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d39c38cd-346b-479b-a2cd-0f9ae551ea12 · outbound

This paper cites PredGCN: a Pruning-enabled Gene-Cell Net for automatic cell annotation of single cell transcriptome data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints PredGCN: a Pruning-enabled Gene-Cell Net for automatic cell annotation of single cell transcriptome data

Reference 34

Resolution
verified exact
doi, observed 2026-08-10T04:31:56.270123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.094355Z digest=sha256:7b6028478827e5417d0c2ed12aacf1912aba970b2f268265e43d3b5aaa69d920

Observation b8cce651-e924-4f24-8116-ced83b7eecf8 · outbound

This paper cites Identification of cell-type-specific marker genes from co-expression patterns in tissue samples.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Identification of cell-type-specific marker genes from co-expression patterns in tissue samples

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.733291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.099135Z digest=sha256:0d340de1bf873325124808cd56ff3fa0d743de528d4444a9ed02019ecbefd29f

Observation 21dafcc5-b3bf-4bc0-bcb2-1c89160ddcf3 · outbound

This paper cites PIPET: predicting relevant subpopulations in single-cell data using phenotypic information from bulk data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints PIPET: predicting relevant subpopulations in single-cell data using phenotypic information from bulk data

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.718201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.103410Z digest=sha256:1edcb838c54951388b1eff2bac03ea2bae4c940831839599901ce544a34fcf62

Observation 22fb03a3-28ee-432b-9c89-4b14cc804b23 · outbound

This paper cites Single-cell transcriptome profiling of human pancreatic islets in health and type 2 diabetes.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Single-cell transcriptome profiling of human pancreatic islets in health and type 2 diabetes

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.703877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.107745Z digest=sha256:f84f6d79c7925b709a6f636a3b7b24b6cfaa03df0503bfb85576d7afeded44de

Observation 541bf25b-8225-4dbd-b46d-3a166958caec · outbound

This paper cites Exponential scaling of single-cell RNA-seq in the past decade.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Exponential scaling of single-cell RNA-seq in the past decade

Reference 38

Resolution
verified exact
doi, observed 2026-08-10T04:31:56.255374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.112286Z digest=sha256:e6e4117592d55acebcd19055bb57d6c1294b5cd9dfd0a4be776e83ce7f59d0b0

Observation d77c2d62-a3cd-419f-94ff-483bee9fffd0 · outbound

This paper cites Adult mouse cortical cell taxonomy revealed by single cell transcrip- tomics.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Adult mouse cortical cell taxonomy revealed by single cell transcrip- tomics

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.688331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.116752Z digest=sha256:0ddc6cb49f5020ef13d625b306b47ba34426fab4e5c63740a748aa321f5d0e11

Observation 4d062bc7-8048-4a00-92d0-fbda901ce116 · outbound

This paper cites A Survey on Optimal Transport for Machine Learning: Theory and Applications.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints A Survey on Optimal Transport for Machine Learning: Theory and Applications

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T04:31:56.121267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:31:56.121267Z digest=sha256:b2437db73940256fd0f00cf8035ab98517927bd5f81fb8df6287f32588183711

Observation 37558ee2-f7a1-4043-a392-b4479c03ccae · outbound

This paper cites Batch effects and the effective design of single-cell gene expression studies.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Batch effects and the effective design of single-cell gene expression studies

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.673429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.125980Z digest=sha256:a26feeeb4bbd860b05fe3ca6ca5e57bbe73f26e6e62a7bc0e9477ee32b299ab1

Observation 9646e9ad-68ff-40cf-a52b-c7260a271a83 · outbound

This paper cites Identifying cell types to interpret scRNA-seq data: how, why and more possibilities.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Identifying cell types to interpret scRNA-seq data: how, why and more possibilities

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.658416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.131390Z digest=sha256:55d70d68bb745e31e7171bd06db0e94c85c678d7a5c6134b1b8fcb2d4f0a47de

Observation d060a095-6725-4c06-9754-ed059b0d3e40 · outbound

This paper cites Accounting for cell type hierarchy in evaluating single cell RNA-seq clustering.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Accounting for cell type hierarchy in evaluating single cell RNA-seq clustering

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.642655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.135820Z digest=sha256:ee980d63e1fe6dadc087223b981fe45b77dc82d6c1200570371ec84b626ec87a

Observation 5f76a912-c59e-4f41-ac67-35d4e9223671 · outbound

This paper cites Single-cell RNA sequencing to identify cellular heterogeneity and targets in cardiovascular diseases: from bench to bedside.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Single-cell RNA sequencing to identify cellular heterogeneity and targets in cardiovascular diseases: from bench to bedside

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.626608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.140082Z digest=sha256:a102b8622abf05ae7ddd8a236f33d7464f0557b662c143f36c4a80bad0b0b018

Observation 177a841d-3e70-47d8-b1fa-7af9eec514c4 · outbound

This paper cites scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.612113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.144498Z digest=sha256:c3015d2c27fddf83df976e99a1bd2d58725c2cc9dadc6479672397d02c03a9ae

Observation 38f5af9e-ac39-4374-9b28-fb250ee1873e · outbound

This paper cites scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets

Reference 46

Resolution
verified exact
doi, observed 2026-08-10T04:31:56.240359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.149074Z digest=sha256:429655feda03f16834d541790bb8be1909647c1307aab34fcdc71b6ae2dc9076

Observation 983a92ff-6835-42bc-885b-50e47f017fda · outbound

This paper cites Multi-view clustering by CPS-merge analysis with application to multimodal single-cell data.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Multi-view clustering by CPS-merge analysis with application to multimodal single-cell data

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.597531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.153604Z digest=sha256:41526022e2cda83698723c7c361ff27d9877bd461a53c5b5068062700e736019

Observation 91baf775-30dd-4ac8-898c-8434df4adaeb · outbound

This paper cites BSDE: barycenter single-cell differential expression for case–control studies.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints BSDE: barycenter single-cell differential expression for case–control studies

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.582412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.157917Z digest=sha256:6ac2d0509929fa84b8fe9e39ad247df045324c0ea9b4821fde7cf0b8e3e37371

Observation 52901840-89d1-45df-9f95-813cb9ffa7d3 · outbound

This paper cites FR-Match: robust matching of cell type clusters from single cell RNA sequencing data using the Friedman–Rafsky non-parametric test.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints FR-Match: robust matching of cell type clusters from single cell RNA sequencing data using the Friedman–Rafsky non-parametric test

Reference 49

Resolution
verified exact
doi, observed 2026-08-10T04:31:56.225914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.162349Z digest=sha256:b29203f2b194f67ef5bec28e1339eb32f55aea4cfcec88e5e004e688f4d2d479

Observation 36db1f11-81ff-4f14-be1f-94e690c41b36 · outbound

This paper cites Single-cell RNA sequencing reveals the heterogeneity of liver- resident immune cells in human.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Single-cell RNA sequencing reveals the heterogeneity of liver- resident immune cells in human

Reference 50

Resolution
verified exact
doi, observed 2026-08-10T04:31:56.209974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.166707Z digest=sha256:e90888e0a8841f018a8c154ad242c8288ba17706459d25add37af02af9c35545

Observation d58ea6a6-cd32-4922-8f36-584db419a73a · outbound

This paper cites Single-cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species.

Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Single-cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:31:56.567970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T04:31:56.171953Z digest=sha256:4c9f30567f2a5ff80c565d4a63bce534868cc17e95395b7113c7c30c3c909590

Pith citing papers

No inbound Pith citation observations are available.