Patterns of differential expression by association in omic data using a new measure based on ensemble learning
Description
The ongoing development of high-throughput technologies is allowing the simultaneous monitoring of the expression levels for hundreds or thousands of biological inputs with the proliferation of what has been coined as omic data sources. One relevant