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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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| 發表在: | BMC Bioinformatics |
|---|---|
| Main Authors: | , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
BioMed Central
2018
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| 主題: | |
| 在線閱讀: | 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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