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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta

As of 18 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 0 inbound Pith citation observations for arXiv:2412.01561.

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pith.paper-citation-record.v1
2412.01561 v3

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Outbound references

Observation 874b079d-eb5e-4818-a546-f673bc999918 · outbound

This paper cites Mouse Brain Section (Coronal), Spatial Gene Expression Dataset Analyzed Using Space Ranger 1.0.0.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Mouse Brain Section (Coronal), Spatial Gene Expression Dataset Analyzed Using Space Ranger 1.0.0

Reference 1

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This paper cites GraphCompass: Spatial Metrics for Differential Analyses of Cell Organization across Conditions.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta GraphCompass: Spatial Metrics for Differential Analyses of Cell Organization across Conditions

Reference 2

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This paper cites Matrix-Assisted Laser Desorption Ionization Imag- ing Mass Spectrometry: In Situ Molecular Mapping.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Matrix-Assisted Laser Desorption Ionization Imag- ing Mass Spectrometry: In Situ Molecular Mapping

Reference 3

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This paper cites A Local Indicator of Multivariate Spatial Association: Extending Geary’s c.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta A Local Indicator of Multivariate Spatial Association: Extending Geary’s c

Reference 4

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This paper cites An Introduction to Spatial Data Science with GeoDa: Volume 1: Exploring Spatial Data.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta An Introduction to Spatial Data Science with GeoDa: Volume 1: Exploring Spatial Data

Reference 5

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Local Indicators of Spatial Association—LISA

Reference 6

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This paper cites The Moran Scatterplot as an ESDA Tool to Assess Local Instability in Spatial Association.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta The Moran Scatterplot as an ESDA Tool to Assess Local Instability in Spatial Association

Reference 7

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This paper cites What Is Special About Spatial Data? Alternative Perspectives on Spatial Data Analysis.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta What Is Special About Spatial Data? Alternative Perspectives on Spatial Data Analysis

Reference 8

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Segment Anything for Microscopy

Reference 9

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This paper cites Spatially Resolved Transcriptomes— Next Generation Tools for Tissue Exploration.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatially Resolved Transcriptomes— Next Generation Tools for Tissue Exploration

Reference 10

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This paper cites Spatial Point Patterns.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatial Point Patterns

Reference 11

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatstat: An R Package for Analyzing Spatial Point Pat- terns

Reference 12

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

Reference 13

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Contribution to the Discussion on Dr Ripley’s Paper

Reference 14

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta R Packages for Analyzing Spatial Data: A Comparative Case Study with Areal Data

Reference 15

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Bivand, Edzer Pebesma, and Virgilio G´ omez-Rubio

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta CODEX Multiplexed Tissue Imaging with DNA-conjugated Antibodies

Reference 17

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta The Dawn of Spatial Omics

Reference 18

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta scFeatures: Multi-View Representations of Single-Cell and Spatial Data for Dis- ease Outcome Prediction

Reference 21

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatiotemporal Transcriptomic Atlas of Mouse Organogenesis Using DNA Nanoball-Patterned Arrays

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Systematic Assessment of Tissue Dissociation and Storage Biases in Single-Cell and Single-Nucleus RNA-seq Workflows

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Systematic Comparison of Single-Cell and Single-Nucleus RNA-sequencing Methods

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatial Analysis with SPIAT and spaSim to Characterize and Simulate Tissue Microenvironments

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Macrophage and Neutrophil Heterogeneity at Single-Cell Spatial Resolution in Human Inflammatory Bowel Disease

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Highly Multiplexed Imaging of Tumor Tissues with Subcellular Resolu- tion by Mass Cytometry

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This paper cites Combining Incompatible Spatial Data.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Combining Incompatible Spatial Data

Reference 38

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Observation 49db41f7-74f7-4230-95e6-439d2ddae93d · outbound

This paper cites Whole-Cell Segmentation of Tissue Images with Human-Level Per- formance Using Large-Scale Data Annotation and Deep Learning.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Whole-Cell Segmentation of Tissue Images with Human-Level Per- formance Using Large-Scale Data Annotation and Deep Learning

Reference 39

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Observation 6f98f002-2976-47cd-9bcd-6bfd09bc7dee · outbound

This paper cites Robinson.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Robinson

Reference 40

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Observation d1603ff4-f4f5-46e3-abd8-febac56ecb42 · outbound

This paper cites Multiplexed Protein Maps Link Subcellular Organization to Cellular States.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Multiplexed Protein Maps Link Subcellular Organization to Cellular States

Reference 41

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Observation b30180c2-7c3a-4447-ada5-1199eb1ecea8 · outbound

This paper cites Dictionary Learning for Integrative, Multimodal and Scalable Single-Cell Analysis.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Dictionary Learning for Integrative, Multimodal and Scalable Single-Cell Analysis

Reference 42

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Observation c866a869-8b74-4a01-96bb-57cc60841a40 · outbound

This paper cites High-Plex Imaging of RNA and Proteins at Subcellular Resolution in Fixed Tissue by Spatial Molecular Imaging.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta High-Plex Imaging of RNA and Proteins at Subcellular Resolution in Fixed Tissue by Spatial Molecular Imaging

Reference 43

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Observation ace68bec-afaa-4f1f-9f37-a4439f8df2ad · outbound

This paper cites High Resolution Mapping of the Tumor Microenvironment Using Integrated Single-Cell, Spatial and in Situ Analysis.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta High Resolution Mapping of the Tumor Microenvironment Using Integrated Single-Cell, Spatial and in Situ Analysis

Reference 44

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Observation 91468d48-46aa-49db-a68f-6c0733d7ed18 · outbound

This paper cites MIBI-TOF: A Multiplexed Imaging Platform Relates Cellular Phenotypes and Tissue Structure.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta MIBI-TOF: A Multiplexed Imaging Platform Relates Cellular Phenotypes and Tissue Structure

Reference 45

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Observation c8a84cf4-64f0-4b12-85ef-6bd0c2ee421b · outbound

This paper cites Spatiomic - Scalable Spatial Proteomics Analyses for Pathology.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatiomic - Scalable Spatial Proteomics Analyses for Pathology

Reference 46

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Observation 1d8467d3-1297-4086-9eda-4e3f2cf4e835 · outbound

This paper cites Immunological Method for Mapping Genes on Drosophila Polytene Chromosomes.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Immunological Method for Mapping Genes on Drosophila Polytene Chromosomes

Reference 47

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Observation 816915eb-1ace-4212-a0eb-38f62da055f4 · outbound

This paper cites Developing a Bivariate Spatial Association Measure: An Integration of Pearson’s r and Moran’s I.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Developing a Bivariate Spatial Association Measure: An Integration of Pearson’s r and Moran’s I

Reference 48

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Observation 11d08b52-fa2a-4c8c-8b46-1057ce694a7d · outbound

This paper cites SpatialDM for Rapid Identification of Spatially Co-Expressed Ligand– Receptor and Revealing Cell–Cell Communication Patterns.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta SpatialDM for Rapid Identification of Spatially Co-Expressed Ligand– Receptor and Revealing Cell–Cell Communication Patterns

Reference 49

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Observation 3414fbbb-211a-4cf5-b86c-59e5cc7f3105 · outbound

This paper cites Spatially Resolved Epigenomic Profiling of Single Cells in Complex Tissues.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatially Resolved Epigenomic Profiling of Single Cells in Complex Tissues

Reference 50

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Observation bbc376c9-f426-4616-bf9b-36993eb44227 · outbound

This paper cites SpatialData: An Open and Universal Data Framework for Spatial Omics.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta SpatialData: An Open and Universal Data Framework for Spatial Omics

Reference 52

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Observation 3fdb5f72-39cc-47dd-a777-bdc3e56e0b50 · outbound

This paper cites Scater: Pre-Processing, Quality Control, Normalisation and Visual- isation of Single-Cell RNA-seq Data in R.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Scater: Pre-Processing, Quality Control, Normalisation and Visual- isation of Single-Cell RNA-seq Data in R

Reference 53

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Observation 74d21a90-fc3d-4242-9374-23862c3c271b · outbound

This paper cites Characterizing Spatial Gene Expression Heterogeneity in Spatially Resolved Single-Cell Transcriptomics Data with Nonuniform Cellular Densities.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Characterizing Spatial Gene Expression Heterogeneity in Spatially Resolved Single-Cell Transcriptomics Data with Nonuniform Cellular Densities

Reference 54

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Observation 5d25acd0-96b3-4a90-9cb6-553a2478787b · outbound

This paper cites The Emerging Landscape of Spatial Profiling Technologies.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta The Emerging Landscape of Spatial Profiling Technologies

Reference 55

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Observation 9597e0cc-48f6-4c33-8d72-e25992f8ece7 · outbound

This paper cites Fast and Robust Feature- Based Stitching Algorithm for Microscopic Images.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Fast and Robust Feature- Based Stitching Algorithm for Microscopic Images

Reference 56

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Observation 2cbd964e-bf03-42b2-b6c2-addfd8ed80cd · outbound

This paper cites Notes on Continuous Stochastic Phenomena.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Notes on Continuous Stochastic Phenomena

Reference 57

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Observation 88fd77dd-3094-4854-b02a-8e0d90292b89 · outbound

This paper cites Museum of Spatial Transcriptomics.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Museum of Spatial Transcriptomics

Reference 58

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Observation 8371f570-4958-46ef-b4d8-0ed636dc3079 · outbound

This paper cites Voyager: Exploratory Single-Cell Genomics Data Analysis with Geospatial Statistics.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Voyager: Exploratory Single-Cell Genomics Data Analysis with Geospatial Statistics

Reference 59

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Observation e1f3f568-0982-46e4-b444-21cac31b67d6 · outbound

This paper cites Oliveira et al.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Oliveira et al

Reference 60

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Observation dd40b50d-d0f6-4aab-b529-8c62960c55a8 · outbound

This paper cites The Modifiable Areal Unit Problem.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta The Modifiable Areal Unit Problem

Reference 61

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Observation 9d89a798-8947-408f-a17b-4a68250dcbc9 · outbound

This paper cites Spatial Components of Molecular Tissue Biology.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatial Components of Molecular Tissue Biology

Reference 62

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Observation 4a68e865-28a2-43cd-be4e-7ded58085638 · outbound

This paper cites Squidpy: A Scalable Framework for Spatial Omics Analysis.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Squidpy: A Scalable Framework for Spatial Omics Analysis

Reference 63

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Observation 6a804627-1e47-4ab0-b618-6d926013e54f · outbound

This paper cites Spatial Omics Technologies at Multimodal and Single Cell/Subcellular Level.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatial Omics Technologies at Multimodal and Single Cell/Subcellular Level

Reference 64

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Observation bd1848f5-ce8d-4514-a9da-ac93f21fdbe8 · outbound

This paper cites Spatial Analysis for Highly Multiplexed Imaging Data to Identify Tissue Microenvironments.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatial Analysis for Highly Multiplexed Imaging Data to Identify Tissue Microenvironments

Reference 65

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatial Data Science: With Applications in R

Reference 66

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Observation 08a15071-21a7-4d40-99ae-57831210626a · outbound

This paper cites Cell Segmentation in Imaging-Based Spatial Transcriptomics.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Cell Segmentation in Imaging-Based Spatial Transcriptomics

Reference 67

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Observation 9bff5968-bb62-4aee-bcf0-49d8b42e0680 · outbound

This paper cites Bin2cell Reconstructs Cells from High Resolution Visium HD Data.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Bin2cell Reconstructs Cells from High Resolution Visium HD Data

Reference 68

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Observation 126a57fd-4bc7-4f2e-a01f-1e2936733920 · outbound

This paper cites Comparison of Spatial Transcriptomics Technologies Using Tumor Cryosections.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Comparison of Spatial Transcriptomics Technologies Using Tumor Cryosections

Reference 69

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Observation 63b0ff9f-a990-4d7b-8b1e-0d68591264af · outbound

This paper cites PySAL: A Python Library of Spatial Analytical Methods.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta PySAL: A Python Library of Spatial Analytical Methods

Reference 71

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Observation 5aac1bd6-55e1-4db9-94ce-44772c4be877 · outbound

This paper cites SpatialExperiment: Infrastructure for Spatially-Resolved Transcriptomics Data in R Using Bioconductor.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta SpatialExperiment: Infrastructure for Spatially-Resolved Transcriptomics Data in R Using Bioconductor

Reference 72

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Observation 70dbe30b-1c90-4edb-8ce6-dc5d2b11ef18 · outbound

This paper cites The Second-Order Analysis of Stationary Point Processes.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta The Second-Order Analysis of Stationary Point Processes

Reference 73

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Observation e834edb7-a6c9-4da7-9648-fde4ca7f6b51 · outbound

This paper cites Finding the Edge of a Poisson Forest.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Finding the Edge of a Poisson Forest

Reference 74

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Observation 9b3b5dd8-c23a-48fa-aef8-7967e250f97c · outbound

This paper cites Slide-Seq: A Scalable Technology for Measuring Genome-Wide Expression at High Spatial Resolution.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Slide-Seq: A Scalable Technology for Measuring Genome-Wide Expression at High Spatial Resolution

Reference 75

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Observation 08b58347-945d-4998-8eeb-29b4a6d537fc · outbound

This paper cites SpaNorm: Spatially-Aware Normalisation for Spatial Transcriptomics Data.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta SpaNorm: Spatially-Aware Normalisation for Spatial Transcriptomics Data

Reference 76

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Observation ada4bd0c-7f1d-473d-be32-1325cbd17b52 · outbound

This paper cites Spatial Atlas of the Mouse Central Nervous System at Molecular Resolu- tion.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatial Atlas of the Mouse Central Nervous System at Molecular Resolu- tion

Reference 77

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Observation 66528f43-5ccf-4282-8eec-33e6e97e39e9 · outbound

This paper cites BANKSY Unifies Cell Typing and Tissue Domain Segmentation for Scalable Spatial Omics Data Analysis.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta BANKSY Unifies Cell Typing and Tissue Domain Segmentation for Scalable Spatial Omics Data Analysis

Reference 78

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Observation 53182c8a-290a-4de4-b7c6-13c2b7e4f1ae · outbound

This paper cites Visualization and Analysis of Gene Expression in Tissue Sections by Spatial Transcriptomics.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Visualization and Analysis of Gene Expression in Tissue Sections by Spatial Transcriptomics

Reference 79

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Observation 64ea8992-50d9-4f6a-b633-7229e5cb5f89 · outbound

This paper cites Highly Sensitive Spatial Transcriptomics at Near-Cellular Resolution with Slide-seqV2.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Highly Sensitive Spatial Transcriptomics at Near-Cellular Resolution with Slide-seqV2

Reference 80

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Observation ab621168-fba9-4dc1-ae47-b0eaa8b6557b · outbound

This paper cites Cellpose: A Generalist Algorithm for Cellular Segmentation.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Cellpose: A Generalist Algorithm for Cellular Segmentation

Reference 81

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Observation d9db259e-997a-4f14-b587-3efc4bc8936f · outbound

This paper cites A Computer Movie Simulating Urban Growth in the Detroit Region.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta A Computer Movie Simulating Urban Growth in the Detroit Region

Reference 82

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Observation 20195f71-7da9-4119-b6ef-0892b304c99f · outbound

This paper cites Quantitative Multiplex Immunohistochemistry Reveals Myeloid- Inflamed Tumor-Immune Complexity Associated with Poor Prognosis.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Quantitative Multiplex Immunohistochemistry Reveals Myeloid- Inflamed Tumor-Immune Complexity Associated with Poor Prognosis

Reference 83

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Observation 5aacd3c4-ebd3-40f9-8bec-21df192437b5 · outbound

This paper cites Effects of Changing Spatial Scale on the Analysis of Landscape Pattern.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Effects of Changing Spatial Scale on the Analysis of Landscape Pattern

Reference 84

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Observation 60bace4e-54a0-45ab-ad1e-59fb6406fd9c · outbound

This paper cites Methods and Applications for Single-Cell and Spatial Multi-Omics.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Methods and Applications for Single-Cell and Spatial Multi-Omics

Reference 85

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Observation 7ce7d52c-38eb-4210-afb2-67f7b4077d07 · outbound

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Anndata: Access and Store Annotated Data Matrices

Reference 86

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Observation 3a90c6e9-49cd-4106-a406-567bb1b335a1 · outbound

This paper cites Cell Segmentation for Image Cytometry: Advances, Insufficiencies, and Challenges.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Cell Segmentation for Image Cytometry: Advances, Insufficiencies, and Challenges

Reference 87

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Observation 06941098-b614-4a67-8964-0858f5ee45cc · outbound

This paper cites Weber and Yixing E.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Weber and Yixing E

Reference 88

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Observation 0c3643db-32fe-4991-a802-d6e1bd6aeb5f · outbound

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Ggplot2: Elegant Graphics for Data Analysis

Reference 89

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Observation e2d80990-85b8-4de4-9495-712e9b4a992a · outbound

This paper cites An End-to-End Workflow for Multiplexed Image Processing and Analysis.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta An End-to-End Workflow for Multiplexed Image Processing and Analysis

Reference 90

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Observation 90b7b938-b29a-442e-a9fd-2c274d10cc49 · outbound

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta SpottedPy Quantifies Relationships between Spatial Tran- scriptomic Hotspots and Uncovers Environmental Cues of Epithelial-Mesenchymal Plastic- ity in Breast Cancer

Reference 91

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Observation 8f3b184a-faaf-4515-a1b9-bbb3fe332d29 · outbound

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta SCANPY: Large-Scale Single-Cell Gene Expression Data Analysis

Reference 92

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Observation 782c4f1c-eaa1-46ac-bcbf-d2551a928744 · outbound

This paper cites Mxfda: A Comprehensive Toolkit for Functional Data Analysis of Single- Cell Spatial Data.

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Mxfda: A Comprehensive Toolkit for Functional Data Analysis of Single- Cell Spatial Data

Reference 93

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Observation f0ed8ad0-ff3a-46ee-bc74-fe608a931987 · outbound

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Mass Spectrometry Imaging: The Rise of Spatially Resolved Single-Cell Omics

Reference 94

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Observation 5d8ec1dc-0f2e-48d8-89f2-d79e93d4917b · outbound

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Mapping the Transcriptome: Realizing the Full Potential of Spatial Data Analysis

Reference 95

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Observation 26cfaff8-76a9-4bf5-bf05-6825859c3ddb · outbound

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Reference 96

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Reference 120

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Reference 1723

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Observation 277267f9-9b3a-40af-b6d1-f23ed3480283 · outbound

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Reference 1806

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Unavailable: canonical work link unavailable.

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Reference 4811

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Pith citing papers

No inbound Pith citation observations are available.