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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...
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| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5819809/ https://ncbi.nlm.nih.gov/pubmed/29462177 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0192853 |
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