C3: connect separate connected components to form a succinct disease module.

Bingbo WangJie HuYajun WangChenxing ZhangYuanjun ZhouLiang YuXingli GuoLin GaoYunru Chen

Published in: BMC bioinformatics (2020)

C3 tool is not only useful in detecting a clearly-defined connected disease neighbourhood of 299 diseases and cancer with multi-omics data, but also helpful in better understanding the interconnection of phenotypically related genes in different omics data and studying complex pathological processes.

Keyphrases

electronic health record
single cell
big data
squamous cell
squamous cell carcinoma
machine learning
deep learning