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BootCellNet, a resampling-based procedure, promotes unsupervised identification of cell populations via robust inference of gene regulatory networks

2024-02-08

Abstract excerpt

Recent advances in measurement technologies, particularly single-cell RNA sequencing (scRNA-seq), have revolutionized our ability to acquire large amounts of omics-level data on cellular states. As measurement techniques evolve, there has been an increasing need for data analysis methodologies, especially those focused on cell-type identification and inference of gene regulatory networks (GRNs). We have developed...

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Literature Corpus work
9efa9d28-a6ca-5051-9cfe-ab70c6ccd507
DOI
10.1101/2024.02.06.579236
Open publication

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BootCellNet, a resampling-based procedure, promotes unsupervised identification of cell populations via robust inference of gene regulatory networksDOI 10.1101/2024.02.06.579236
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