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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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Podrobná bibliografie
Vydáno v:BMC Genomics
Hlavní autoři: Gao, Jiangning, Sundström, Görel, Moghadam, Behrooz Torabi, Zamani, Neda, Grabherr, Manfred G.
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2018
Témata:
On-line přístup: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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