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Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decomposition

2023-08-17

Abstract excerpt

Profiling tumors with single-cell RNA sequencing (scRNA-seq) has the potential to identify recurrent patterns of transcription variation related to cancer progression, and produce new therapeutically relevant insights. However, the presence of strong inter-tumor heterogeneity often obscures more subtle patterns that are shared across tumors, some of which may characterize clinically relevant disease subtypes. Here...

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Literature Corpus work
2d3236f9-81b4-5448-96bb-6ba287949d83
DOI
10.1101/2023.08.15.553436
Open publication

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Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decompositionDOI 10.1101/2023.08.15.553436
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