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...

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Detalles Bibliográficos
Autores principales: Cestarelli, Valerio, Fiscon, Giulia, Felici, Giovanni, Bertolazzi, Paola, Weitschek, Emanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Original Papers
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

Internet

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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