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PrismExp: Predicting Human Gene Function by Partitioning Massive RNA-seq Co-expression Data

2021-01-21

Abstract excerpt

Gene co-expression correlations from mRNA-sequencing (RNA-seq) can be used to predict gene function based on the covariance structure that exists within such data. In the past, we showed that RNA-seq co-expression data is highly predictive of gene function and protein-protein interactions. We demonstrated that the performance of such predictions is dependent on the source of the gene expression data. Furthermore,...

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Literature Corpus work
4bf502f7-bd6f-59bb-b3cd-af040ad44e8d
DOI
10.1101/2021.01.20.427528
Open publication

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PrismExp: Predicting Human Gene Function by Partitioning Massive RNA-seq Co-expression DataDOI 10.1101/2021.01.20.427528
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