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Using Supervised Learning Methods for Gene Selection in RNA-Seq Case-Control Studies
Whole transcriptome studies typically yield large amounts of data, with expression values for all genes or transcripts of the genome. The search for genes of interest in a particular study setting can thus be a daunting task, usually relying on automated computational methods. Moreover, most biologi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085558/ https://www.ncbi.nlm.nih.gov/pubmed/30123241 http://dx.doi.org/10.3389/fgene.2018.00297 |