Title

Fast Bayesian Inference for Gene Regulatory Networks Using ScanBMA

Publication Date

4-17-2014

Document Type

Article

Abstract

Genome-wide time-series data provide a rich set of information for discovering gene regulatory relationships. As genome-wide data for mammalian systems are being generated, it is critical to develop network inference methods that can handle tens of thousands of genes efficiently, provide a systematic framework for the integration of multiple data sources, and yield robust, accurate and compact gene-to-gene relationships.

Publication Title

BMC Systems Biology

Volume

8

Issue

1

DOI

10.1186/1752-0509-8-47

Version

open access

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