Misclassification Errors in Unsupervised Classification Methods. Comparison Based on the Simulation of Targeted Proteomics Data

Unsupervised classification methods are gaining acceptance in omics studies of complex common diseases, which are often vaguely defined and are likely the collections of disease subtypes. Unsupervised classification based on the molecular signatures identified in omics studies have the potential to...

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Detalles Bibliográficos
Autores principales: Andreev, Victor P, Gillespie, Brenda W, Helfand, Brian T, Merion, Robert M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982549/
https://www.ncbi.nlm.nih.gov/pubmed/27524871
http://dx.doi.org/10.4172/jpb.S14-005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982549/
https://www.ncbi.nlm.nih.gov/pubmed/27524871
http://dx.doi.org/10.4172/jpb.S14-005

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