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Article

Gene expression network reconstruction by convex feature selection when incorporating genetic perturbations.

PLoS computational biology - 2 Dec 2010

Logsdon Benjamin A, Mezey Jason

Abstract excerpt

Cellular gene expression measurements contain regulatory information that can be used to discover novel network relationships. Here, we present a new algorithm for network reconstruction powered by the adaptive lasso, a theoretically and empirically well-behaved method for selecting the regulatory features of a network. Any algorithms designed for network discovery that make use of directed probabilistic graphs...

Topics

Algorithms
Gene Expression Regulation, Fungal
Gene Regulatory Networks
Genome, Fungal
Metabolic Networks and Pathways
Models, Genetic
Phenotype
Quantitative Trait Loci
Saccharomyces cerevisiae
Signal Transduction

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Systems Biology

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Identifiers

PMID: 21152011
DOI: 10.1371/journal.pcbi.1001014
PMCID: PMC2996324

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