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MinReg: Inferring an Active Regulator Set
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Regulatory relations between genes are an important component of
molecular pathways.
Here, we devise a novel global method that finds a small set of
relevant active regulators from
a set of gene expression profiles, identifies the genes that they regulate, and
derives their functional annotations. We show that our algorithm is
capable of handling a large number of genes in a short time and
robust to a wide range of parameters. We apply our method to a combined
dataset of
{\em S. cerevisiase} expression profiles, and validate the resulting
model of regulation by
cross-validation and extensive biological analysis of the selected
regulators and their
derived annotations.
Summary
MinReg is an algorithm that finds a small set of regulators that best explain
gene expression data and for each such gene infers the genes it regulates.
MinReg is currently interfaced to GeneSys, and interactive visualizer which
both visualizes and performs post analysis on the resulting regulation
structure as performed in the paper.
Availability
Current version is under beta testing. If you are interested in using the
software package, please contact
danab@cs.huji.ac.il