BIDIMENSIONAL LINKED MATRIX FACTORIZATION FOR PAN-OMICS PAN-CANCER ANALYSIS.

Cancer genomics data integration low-rank matrix factorization missing data imputation nuclear norm penalization

Journal

The annals of applied statistics
ISSN: 1932-6157
Titre abrégé: Ann Appl Stat
Pays: United States
ID NLM: 101479511

Informations de publication

Date de publication:
Mar 2022
Historique:
entrez: 4 5 2022
pubmed: 5 5 2022
medline: 5 5 2022
Statut: ppublish

Résumé

Several modern applications require the integration of multiple large data matrices that have shared rows and/or columns. For example, cancer studies that integrate multiple omics platforms across multiple types of cancer,

Identifiants

pubmed: 35505906
doi: 10.1214/21-AOAS1495
pmc: PMC9060567
mid: NIHMS1796648
doi:

Types de publication

Journal Article

Langues

eng

Pagination

193-215

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM130622
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA231214
Pays : United States

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Auteurs

Eric F Lock (EF)

Division of Biostatistics, School of Public Health, University of Minnesota.

Jun Young Park (JY)

Department of Statistical Sciences, Faculty of Arts & Science, University of Toronto.

Katherine A Hoadley (KA)

Department of Genetics, Computational Medicine Program, University of North Carolina.

Classifications MeSH