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NetBID
CGC
Data Resource:  CGC
Point of Contact:  
Jiyang Yu,  
Project

About This Dataset
NetBID is a data-driven system biology pipeline using a data-driven network-based Bayesian inference approach to find drivers from transcriptomics, proteomics, or phosphoproteomics data. The drivers can be either transcription factors (TF) or signaling factors (SIG). NetBID2 has the following key steps to perform hidden driver analysis: (1) Activity calculation of drivers based on drivers' regulons from a pre-built or user provided SJARACNe network; (2) Discovery of differential expressed genes and differential activated drivers; (3) Generation of the master table for drivers; and (4) Visualizing drivers with significance profiles and target genes
Core Data Elements
Additional Data Elements
DATA REPOSITORY
Grant Information
P30CA021765
Cancer Center Support Grant (CCSG)
R01CA176624
Tsc1/mTOR axis in immune homeostasis and tumorigenesis
R01CA221290
Metabolic reprogramming of Tregs in tumor immunity
Published In
https://doi.org/10.1038/s41586-018-0177-0