Module disruption results include module size in probesets, correlation of total connectivity between the CIE drinking group and the Air NonDrinking group (mod.cor.kME), mean correlation of total conn
Proteins are fundamental to the execution of biological activities, and the accurate prediction of their functions is of paramount importance for protein research. Recent advancements in deep learning
This dataset includes the data for training the protein function prediction models at github.com/stamakro/GCN-for-Structure-and-Function. For each protein, a pickle file is provided, containing its se
BACKGROUND: A functional understanding of processes involved in adaptive divergence is one of the awaiting opportunities afforded by high throughput transcriptomic technologies. Functional analysis of
