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RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers
BACKGROUND: Current -omics technologies are able to sense the state of a biological sample in a very wide variety of ways. Given the high dimensionality that typically characterises these data, relevant knowledge is often hidden and hard to identify. Machine learning methods, and particularly featur...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493069/ https://www.ncbi.nlm.nih.gov/pubmed/28666416 http://dx.doi.org/10.1186/s12859-017-1729-2 |