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CAMUR: Knowledge extraction from RNA-seq cancer data through equivalent classification rules
Motivation: Nowadays, knowledge extraction methods from Next Generation Sequencing data are highly requested. In this work, we focus on RNA-seq gene expression analysis and specifically on case–control studies with rule-based supervised classification algorithms that build a model able to discrimina...
Autores principales: | Cestarelli, Valerio, Fiscon, Giulia, Felici, Giovanni, Bertolazzi, Paola, Weitschek, Emanuel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4795614/ https://www.ncbi.nlm.nih.gov/pubmed/26519501 http://dx.doi.org/10.1093/bioinformatics/btv635 |
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