Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data

BACKGROUND: During the last decade, the interest to apply machine learning algorithms to genomic data has increased in many bioinformatics applications. Analyzing this type of data entails difficulties for managing high-dimensional data, class imbalance for knowledge extraction, identifying importan...

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Detalles Bibliográficos
Autores principales: Valdés, María Gabriela, Galván-Femenía, Iván, Ripoll, Vicent Ribas, Duran, Xavier, Yokota, Jun, Gavaldà, Ricard, Rafael-Palou, Xavier, de Cid, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245589/
https://www.ncbi.nlm.nih.gov/pubmed/30458782
http://dx.doi.org/10.1186/s12918-018-0615-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245589/
https://www.ncbi.nlm.nih.gov/pubmed/30458782
http://dx.doi.org/10.1186/s12918-018-0615-5

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