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Article

Evaluation of critical data processing steps for reliable prediction of gene co-expression from large collections of RNA-seq data

2021-03-12

Abstract excerpt

<h4>Motivation</h4> Gene co-expression analysis is an attractive tool for leveraging enormous amounts of public RNA-seq datasets for the prediction of gene functions and regulatory mechanisms. However, the optimal data processing steps for the accurate prediction of gene co-expression from such large datasets remain unclear. Especially the importance of batch effect correction is understudied. <h4>Results</h4> W...

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Literature Corpus work
15a31b64-96d1-5847-a58e-bdda5a429c6d
DOI
10.1101/2021.03.11.435043
Open publication

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Evaluation of critical data processing steps for reliable prediction of gene co-expression from large collections of RNA-seq dataDOI 10.1101/2021.03.11.435043
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