@inproceedings{ed1e5f8a8f004647a2cbbb1a3acf3d62,
title = "Identification of key causal regulators in gene networks",
abstract = "One primary goal of gene network analysis is to identify key regulatory components, or key drivers, of subnetworks with respect to various biological contexts. Here we developed a general algorithm to identify key drivers in gene regulatory networks. The generalized key driver analysis (KDA) uncovers not only the well-known regulators for the expression quantitative trait locus (eQTL) hotspots but also many novel drivers underlying certain eQTL hotspots. This algorithm also identifies a number of key regulators for immune response involved in multiple common chronic diseases and the predicted drivers appear to be more important than the non-drivers genes to induce phenotypic changes when perturbed.",
keywords = "Causal networks, Gene regulatory networks, Key drivers",
author = "Bin Zhang and Jun Zhu",
year = "2013",
language = "English",
isbn = "9789881925282",
series = "Lecture Notes in Engineering and Computer Science",
pages = "1309--1312",
booktitle = "Proceedings of the World Congress on Engineering 2013, WCE 2013",
note = "2013 World Congress on Engineering, WCE 2013 ; Conference date: 03-07-2013 Through 05-07-2013",
}