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Article

Identifying key regulatory genes in drug resistance acquisition: Modeling pseudotime trajectories of single-cell transcriptome

2024-04-28

Abstract excerpt

Single-cell RNA-sequencing (scRNA-seq) technology has provided significant insights into cancer drug resistance at the single-cell level. However, understanding dynamic cell transitions at the molecular systems level remains limited, requiring a systems biology approach. We present an approach that combines mathematical modeling with pseudotime analysis using time-series scRNA-seq data obtained from the breast can...

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Literature Corpus work
e794fad2-8b45-5942-9d93-e79329a4f052
DOI
10.1101/2024.04.25.591115
Open publication

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Identifying key regulatory genes in drug resistance acquisition: Modeling pseudotime trajectories of single-cell transcriptomeDOI 10.1101/2024.04.25.591115
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