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Accurate and fast feature selection workflow for high-dimensional omics data

We are moving into the age of ‘Big Data’ in biomedical research and bioinformatics. This trend could be encapsulated in this simple formula: D = S * F, where the volume of data generated (D) increases in both dimensions: the number of samples (S) and the number of sample features (F). Frequently, a...

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Detalles Bibliográficos
Autores principales: Perez-Riverol, Yasset, Kuhn, Max, Vizcaíno, Juan Antonio, Hitz, Marc-Phillip, Audain, Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738110/
https://www.ncbi.nlm.nih.gov/pubmed/29261781
http://dx.doi.org/10.1371/journal.pone.0189875