COMBAI computational biology and artificial intelligence

Human cancer regulatory network project info

(beta version)

To search, please enter frequency score, absolute coef, max node number, and gene IDs or symbols based on GRCh38.p2.v22.

Each gene id must be separated by comma, for example, ENSG00000229417.1, NPM1P25

For clear illustration purposes, the max_number of entered genes is 5, and please limit the max_node number (e.g. 50 to show top 50 most important nodes)

Network annotation: 1) Node color denotes gene category, lightGreen, blue, pink, red, lightSkyBlue respectively denotes protein_coding, antisenseRNA, lincRNA, processed-pseudogene, other. 2) Edge color represents regulation strength: red, pink, blue, lightSkyBlue, and lightGray respectively represents strong positive, middle positive, strong negative, middle negative and week regulation(positive or negative). 3)Edge thickness denotes confidence, thicker, more confident.


Anyou Wang. 2022. Noncoding RNAs endogenously rule the cancerous regulatory realm while proteins govern the normal.Computational and Structural Biotechnology Journal. Wang, A. & Hai, R. FINET: Fast Inferring NETwork. BMC Res Notes 13, 521 (2020). Anyou Wang.2022. Distinctive functional regime of endogenous lncRNAs in dark regions of human genome.Computational and Structural Biotechnology Journal.