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diceR: an R package for class discovery using an ensemble driven approach
BACKGROUND: Given a set of features, researchers are often interested in partitioning objects into homogeneous clusters. In health research, cancer research in particular, high-throughput data is collected with the aim of segmenting patients into sub-populations to aid in disease diagnosis, prognosi...
| 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/PMC5769335/ https://www.ncbi.nlm.nih.gov/pubmed/29334888 http://dx.doi.org/10.1186/s12859-017-1996-y |