A novel joint analysis framework improves identification of differentially expressed genes in cross disease transcriptomic analysis
Detecting differentially expressed (DE) genes between disease and normal control group is one of the most common analyses in genome-wide transcriptomic data. Since most studies don ’t have a lot of samples, res...
Source: BioData Mining - Category: Bioinformatics Authors: Wenyi Qin and Hui Lu Tags: Methodology Source Type: research