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Article

Deep learning for inferring gene relationships from single-cell expression data

2018-07-08

Abstract excerpt

Several methods were developed to mine gene-gene relationships from expression data. Examples include correlation and mutual information methods for co-expression analysis, clustering and undirected graphical models for functional assignments and directed graphical models for pathway reconstruction. Using a novel encoding for gene expression data, followed by deep neural networks analysis, we present a framework t...

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Literature Corpus work
04f31af7-619c-5031-bdf7-2803d85728aa
DOI
10.1101/365007
Open publication

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Deep learning for inferring gene relationships from single-cell expression dataDOI 10.1101/365007
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