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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:BMC Genomics
Main Authors: 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
Idioma:Inglês
Publicado em: BioMed Central 2015
Assuntos:
Methodology Article
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados