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Identifying drug active pathways from gene networks estimated by gene expression data
2005
Genome Informatics Series
We present a computational method for identifying genes and their regulatory pathways influenced by a drug, using microarray gene expression data collected by single gene disruptions and drug responses. The automatic identification of such genes and pathways in organisms' cells is an important problem for pharmacogenomics and the tailor-made medication. Our method estimates regulatory relationships between genes as a gene network from microarray data of gene disruptions with a Bayesian network
pmid:16362921
fatcat:vu4zm5myifecnnt6y4yklmnyxy