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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2013
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| Materias: | |
| 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 |