Improving stability of prediction models based on correlated omics data by using network approaches.
Building prediction models based on complex omics datasets such as transcriptomics, proteomics, metabolomics remains a challenge in bioinformatics and biostatistics. Regularized regression techniques are typically used to deal with the high dimensionality of these datasets. However, due to the prese...
Main Authors: | Renaud Tissier, Jeanine Houwing-Duistermaat, Mar Rodríguez-Girondo |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5819809?pdf=render |
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