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Comparative Analysis of Association Networks Using Single-Cell RNA Sequencing Data Reveals Perturbation-Relevant Gene Signatures

2023-10-05

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) data has elevated our understanding of systemic perturbations to organismal physiology at the individual cell level. However, despite the rich information content of scRNA-seq data, the relevance of genes to a perturbation is still commonly assessed through differential expression analysis. This approach provides a one-dimensional perspective of the transcriptomic landscape,...

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Literature Corpus work
27574874-a04f-517b-a51e-8c051ddd6708
DOI
10.2139/ssrn.4591662
Open publication

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Comparative Analysis of Association Networks Using Single-Cell RNA Sequencing Data Reveals Perturbation-Relevant Gene SignaturesDOI 10.2139/ssrn.4591662
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