A multivariate approach to the integration of multi-omics datasets

BMC Bioinformatics

Volumn 15, Issue 1, 2014, Pages

  Meng, Chen ^a   Kuster, Bernhard ^a,b   Culhane, Aedín C ^c,d   Gholami, Amin M ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b Munich Center for Integrated Protein Science   (Germany)

^c DANA FARBER CANCER INSTITUTE   (United States)

^d HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Data integration; Multiple co inertia; Multivariate analysis; Omic data; Visualization

Indexed keywords

BIOMARKERS; CELL CULTURE; DISEASES; FLOW VISUALIZATION; RNA; VISUALIZATION;

BIOLOGICAL INTERPRETATION; EXPLORATORY DATA ANALYSIS; GRAPHICAL REPRESENTATIONS; HIGH DIMENSIONAL DATASETS; MULTI VARIATE ANALYSIS; MULTIPLE CO-INERTIA; OMIC DATA; TRANSCRIPTOME PROFILES;

DATA INTEGRATION;

PROTEOME; TUMOR MARKER;

ARTICLE; CHEMISTRY; FEMALE; GENETICS; GENOMICS; HIGH THROUGHPUT SEQUENCING; HUMAN; METHODOLOGY; OVARY TUMOR; TUMOR CELL LINE;

CELL LINE, TUMOR; FEMALE; GENOMICS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; OVARIAN NEOPLASMS; PROTEOME; TUMOR MARKERS, BIOLOGICAL;

EID: 84902257693     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-15-162     Document Type: Article

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