Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta | Paper Citation Record

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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

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

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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

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

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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

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This paper cites Local Indicators of Spatial Association—LISA.

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

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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

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

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

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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

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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

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This paper cites Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing.

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

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This paper cites Contribution to the Discussion on Dr Ripley’s Paper.

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This paper cites The Dawn of Spatial Omics.

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This paper cites scFeatures: Multi-View Representations of Single-Cell and Spatial Data for Dis- ease Outcome Prediction.

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Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta Spatially Resolved, Highly Multiplexed RNA Profiling in Single Cells

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

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Reference 57

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Reference 58

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