Integrative phenotyping framework (iPF): integrative clustering of multiple omics data identifies no...
Integrative phenotyping framework (iPF): integrative clustering of multiple omics data identifies novel lung disease subphenotypes
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Publisher
England: BioMed Central
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Language
English
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Publisher
England: BioMed Central
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Contents
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 categorical.
In this paper we introduce an integrative phenotyp...
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Full title
Integrative phenotyping framework (iPF): integrative clustering of multiple omics data identifies novel lung disease subphenotypes
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4642618
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4642618
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ISSN
1471-2164
E-ISSN
1471-2164
DOI
10.1186/s12864-015-2170-4
