Natural Cubic Spline Regression Modeling Followed by Dynamic Network Reconstruction for the Identifi...
Natural Cubic Spline Regression Modeling Followed by Dynamic Network Reconstruction for the Identification of Radiation-Sensitivity Gene Association Networks from Time-Course Transcriptome Data
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United States: Public Library of Science
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English
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United States: Public Library of Science
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Gene expression time-course experiments allow to study the dynamics of transcriptomic changes in cells exposed to different stimuli. However, most approaches for the reconstruction of gene association networks (GANs) do not propose prior-selection approaches tailored to time-course transcriptome data. Here, we present a workflow for the identificat...
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Natural Cubic Spline Regression Modeling Followed by Dynamic Network Reconstruction for the Identification of Radiation-Sensitivity Gene Association Networks from Time-Course Transcriptome Data
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TN_cdi_plos_journals_1812536282
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1812536282
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0160791
