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Extraction of biological signals by factorization enables the reliable analysis of single-cell transcriptomics

2023-03-04

Abstract excerpt

Accurately and reliably capturing actual biological signals from single-cell transcriptomics is vital for achieving legitimate scientific results, which is unfortunately hindered by the presence of various kinds of unwanted variations. Here we described a deep auto-regressive factor model known as scPheno XMBD , demonstrated that each gene’s expression can be split into discrete components that represent biologic...

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Literature Corpus work
f13343ed-98df-534d-b1b3-bafdf61451eb
DOI
10.1101/2023.03.04.531126
Open publication

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Extraction of biological signals by factorization enables the reliable analysis of single-cell transcriptomicsDOI 10.1101/2023.03.04.531126
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