Detecting Differentially Expressed Genes with RNA-seq Data Using Backward Selection to Account for the Effects of Relevant Covariates
A common challenge in analysis of transcriptomic data is to identify differentially expressed genes, i.e., genes whose mean transcript abundance levels differ across the levels of a factor of scientific interest. Transcript abundance levels can be measured simultaneously for thousands of genes in mu...
| Main Authors: | , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Springer US
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666287/ |