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ACES: a machine learning toolbox for clustering analysis and visualization
BACKGROUND: Studies that aim at explaining phenotypes or disease susceptibility by genetic or epigenetic variants often rely on clustering methods to stratify individuals or samples. While statistical associations may point at increased risk for certain parts of the population, the ultimate goal is...
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| Veröffentlicht in: | BMC Genomics |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6307290/ https://ncbi.nlm.nih.gov/pubmed/30587115 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-018-5300-y |
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