Batch correction evaluation framework using a-priori gene-gene associations: applied to the GTEx dataset
Abstract Background Correcting a heterogeneous dataset that presents artefacts from several confounders is often an essential bioinformatics task. Attempting to remove these batch effects will result in some biologically meaningful signals being lost. Thus, a central challenge is assessing if the re...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-05-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2855-9 |