Aug 202012
 

GRNInfer 1.0

:: DESCRIPTION

GRNInfer aims to derive the most consistent network structure with respect to Multiple Microarray Datasets, by exploiting available information from a variety of experiments. Specifically, inferring gene network is formulated as an optimization problem with minimization of L1 norm for the objective function, which involves both forced matching and sparse terms. An efficient algorithm is developed to solve such a large-scale linear programming in an iterative manner. With such a procedure, a consistent and sparse structure that is also considered to be biologically plausible, can be expected to be derived.

::DEVELOPER

APORC

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

  GRNInfer

:: MORE INFORMATION

Citation

Yong Wang, Trupti Joshi, Xiang-Sun Zhang, Dong Xu, and Luonan Chen.
Inferring gene regulatory networks from multiple microarray datasets.
Bioinformatics, Vol. 22, No. 19, pp. 2413-2420, 2006.

386 views

Sorry, the comment form is closed at this time.