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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...
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| Izdano u: | BMC Bioinformatics |
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| Glavni autori: | , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BioMed Central
2018
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5769335/ https://ncbi.nlm.nih.gov/pubmed/29334888 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1996-y |
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