Natural Cubic Spline Regression Modeling Followed by Dynamic Network Reconstruction for the Identification of Radiation-Sensitivity Gene Association Networks from Time-Course Transcriptome Data.

Natural Cubic Spline Regression Modeling Followed by Dynamic Network Reconstruction for the Identification of Radiation-Sensitivity Gene Association Networks from Time-Course Transcriptome Data.

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 dat...

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Bibliographic Details
Main Authors: Agata Michna, Herbert Braselmann, Martin Selmansberger, Anne Dietz, Julia Hess, Maria Gomolka, Sabine Hornhardt, Nils Blüthgen, Horst Zitzelsberger, Kristian Unger
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4978405?pdf=render

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http://europepmc.org/articles/PMC4978405?pdf=render

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