A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data

doi:10.1186/1748-7188-4-5

Algorithms for Molecular Biology

Volume 4

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A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data

Sahely Bhadra¹ , Chiranjib Bhattacharyya¹^,2 , Nagasuma R Chandra² and I Saira Mian³

¹Department of Computer Science and Automation, Indian Institute of Science, Bangalore, Karnataka, India

²Bioinformatics Centre, Indian Institute of Science, Bangalore, Karnataka, India

³Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA

author email corresponding author email

Algorithms for Molecular Biology 2009, 4:5doi:10.1186/1748-7188-4-5


Published:	24 February 2009

Additional files

Additional file 1:

The codes of LP-SLGN are available here.

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Additional file 2:

Predicted networks obtained for InSilico and Yeast dataset using LP-SLGN are available here.

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Additional file 3:

Information about the proteins encoded by the genes depicted in Figure 4. For each gene, the Saccharomyces Genome Database (SGD) [48] description, Gene Ontology (GO) [49] terms and InterPro [50] protein domains are listed (when available).

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