Article

DrivAER: Identification of driving transcriptional programs in single-cell RNA sequencing data

2019-12-05

Abstract excerpt

Single cell RNA sequencing (scRNA-seq) unfolds complex transcriptomic data sets into detailed cellular maps. Despite recent success, there is a pressing need for specialized methods tailored towards the functional interpretation of these cellular maps. Here, we present DrivAER, a machine learning approach that scores annotated gene sets based on their relevance to user-specified outcomes such as pseudotemporal ord...

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Literature Corpus work: a1c8e22d-33d2-5634-9d28-1a580e985346
DOI: 10.1101/864165

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