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Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure
BACKGROUND: Many bioinformatics studies aim to identify markers, or features, that can be used to discriminate between distinct groups. In problems where strong individual markers are not available, or where interactions between gene products are of primary interest, it may be necessary to consider...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872553/ https://www.ncbi.nlm.nih.gov/pubmed/29589558 http://dx.doi.org/10.1186/s12859-018-2059-8 |