Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?

In the Life Sciences ‘omics’ data is increasingly generated by different high-throughput technologies. Often only the integration of these data allows uncovering biological insights that can be experimentally validated or mechanistically modelled, i.e. sophisticated computational approaches are requ...

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Detalles Bibliográficos
Autores principales: Touw, Wouter G., Bayjanov, Jumamurat R., Overmars, Lex, Backus, Lennart, Boekhorst, Jos, Wels, Michiel, van Hijum, Sacha A. F. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3659301/
https://www.ncbi.nlm.nih.gov/pubmed/22786785
http://dx.doi.org/10.1093/bib/bbs034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3659301/
https://www.ncbi.nlm.nih.gov/pubmed/22786785
http://dx.doi.org/10.1093/bib/bbs034

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