LSTrAP: efficiently combining RNA sequencing data into co-expression networks
Abstract
Since experimental elucidation of gene function is often laborious, various in silico methods have been developed to predict gene function of uncharacterized genes. Since functionally related genes are often expressed in the same tissues, conditions and developmental stages (co-expressed), functional annotation of characterized genes can be transferred to co-expressed genes lacking annotation. With genome-wide expression data available, the...
Paper Details
Title
LSTrAP: efficiently combining RNA sequencing data into co-expression networks
Published Date
Oct 10, 2017
Journal
Volume
18
Issue
1
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