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Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1dc2c6e6d6284500bb61295fc5e4b496

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

About this item

Full title

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

Publisher

London: Nature Publishing Group UK

Journal title

Molecular systems biology, 2018-06, Vol.14 (6), p.e8124-n/a

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Multi‐omics studies promise the improved characterization of biological processes across molecular layers. However, methods for the unsupervised integration of the resulting heterogeneous data sets are lacking. We present Multi‐Omics Factor Analysis (MOFA), a computational method for discovering the principal sources of variation in multi‐omics dat...

Alternative Titles

Full title

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_1dc2c6e6d6284500bb61295fc5e4b496

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1dc2c6e6d6284500bb61295fc5e4b496

Other Identifiers

ISSN

1744-4292

E-ISSN

1744-4292

DOI

10.15252/msb.20178124

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