Integration of Steady-State and Temporal Gene Expression Data for the Inference of Gene Regulatory N...
Integration of Steady-State and Temporal Gene Expression Data for the Inference of Gene Regulatory Networks
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United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
We develop a new regression algorithm, cMIKANA, for inference of gene regulatory networks from combinations of steady-state and time-series gene expression data. Using simulated gene expression datasets to assess the accuracy of reconstructing gene regulatory networks, we show that steady-state and time-series data sets can successfully be combined...
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Full title
Integration of Steady-State and Temporal Gene Expression Data for the Inference of Gene Regulatory Networks
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TN_cdi_plos_journals_1430494449
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1430494449
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0072103
