Integrative phenotyping framework (iPF): integrative clustering of multiple omics data identifies novel lung disease subphenotypes

BACKGROUND: The increased multi-omics information on carefully phenotyped patients in studies of complex diseases requires novel methods for data integration. Unlike continuous intensity measurements from most omics data sets, phenome data contain clinical variables that are binary, ordinal and cate...

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Publicado en:BMC Genomics
Autores principales: Kim, SungHwan, Herazo-Maya, Jose D., Kang, Dongwan D., Juan-Guardela, Brenda M., Tedrow, John, Martinez, Fernando J., Sciurba, Frank C., Tseng, George C., Kaminski, Naftali
Formato: Artigo
Lenguaje:Inglês
Publicado: BioMed Central 2015
Materias:
Methodology Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC4642618/
https://ncbi.nlm.nih.gov/pubmed/26560100
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-015-2170-4
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