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Article

Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self-Organizing Maps

2018-10-09

Abstract excerpt

Rapid advances in single-cell assays have outpaced methods for analysis of those data types. Different single-cell assays show extensive variation in sensitivity and signal to noise levels. In particular, scATAC-seq generates extremely sparse and noisy datasets. Existing methods developed to analyze this data require cells amenable to pseudo-time analysis or require datasets with drastically different cell-types....

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Literature Corpus work
92e206f4-85c4-5c2e-9267-92e6a099bdca
DOI
10.1101/438937
Open publication

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Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self-Organizing MapsDOI 10.1101/438937
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