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AutoClass@IJM: a powerful tool for Bayesian classification of heterogeneous data in biology
Recently, several theoretical and applied studies have shown that unsupervised Bayesian classification systems are of particular relevance for biological studies. However, these systems have not yet fully reached the biological community mainly because there are few freely available dedicated comput...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703914/ https://www.ncbi.nlm.nih.gov/pubmed/19474346 http://dx.doi.org/10.1093/nar/gkp430 |