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

Molecular Systems Biology

Volumn 14, Issue 6, 2018, Pages

  Argelaguet, Ricard ^a   Velten, Britta ^b   Arnol, Damien ^a   Dietrich, Sascha ^c   Zenz, Thorsten ^c,d,e   Marioni, John C ^a,f,g   Buettner, Florian ^a,h   Huber, Wolfgang ^b   Stegle, Oliver ^a,b  

^a EUROPEAN BIOINFORMATICS INSTITUTE   (United Kingdom)

^b EUROPEAN MOLECULAR BIOLOGY LABORATORY   (Germany)

^c UNIVERSITY HOSPITAL HEIDELBERG   (Germany)

^d GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^e UNIVERSITY HOSPITAL ZURICH   (Switzerland)

^f UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^g WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^h INSTITUTE OF EPIDEMIOLOGY   (Germany)

Author keywords

data integration; dimensionality reduction; multi omics; personalized medicine; single cell omics

Indexed keywords

DNA; IMMUNOGLOBULIN HEAVY CHAIN; RNA; ANTINEOPLASTIC AGENT; TRANSCRIPTOME;

ARTICLE; CHRONIC LYMPHATIC LEUKEMIA; COHORT ANALYSIS; DRUG RESPONSE; EX VIVO STUDY; FACTOR ANALYSIS; GENE EXPRESSION; GENETIC HETEROGENEITY; HUMAN; MAJOR CLINICAL STUDY; MULTI OMICS FACTOR ANALYSIS; OMICS; OXIDATIVE STRESS; PRIORITY JOURNAL; SOMATIC MUTATION; TRISOMY 12; BIOLOGY; COMPUTER SIMULATION; GENETICS; INFORMATION PROCESSING; PROCEDURES; SOFTWARE; STATISTICAL MODEL; VALIDATION STUDY;

ANTINEOPLASTIC AGENTS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATASETS AS TOPIC; HUMANS; LEUKEMIA, LYMPHOCYTIC, CHRONIC, B-CELL; MODELS, STATISTICAL; OXIDATIVE STRESS; SOFTWARE; TRANSCRIPTOME;

EID: 85049250191     PISSN: None     EISSN: 17444292     Source Type: Journal    
DOI: 10.15252/msb.20178124     Document Type: Article

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