Integrative phenotyping framework (iPF): Integrative clustering of multiple omics data identifies novel lung disease subphenotypes Academic Article uri icon

Overview

MeSH Major

  • Computational Biology
  • Phenotype

abstract

  • Identification of subclusters with distinct clinical and biomolecular characteristics suggests that integration of phenomic and other omics information could lead to identification of novel mechanism-based disease sub-phenotypes.

publication date

  • November 11, 2015

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC4642618

Digital Object Identifier (DOI)

  • 10.1186/s12864-015-2170-4

PubMed ID

  • 26560100

Additional Document Info

start page

  • 924