Systems-based biological concordance and predictive reproducibility of gene set discovery methods in cardiovascular disease

Journal of Biomedical Informatics

Volumn 44, Issue 4, 2011, Pages 637-647

  Azuaje, Francisco ^a   Zheng, Huiru ^b   Camargo, Anyela ^c   Wang, Haiying ^b  

^a LUXEMBOURG INSTITUTE OF HEALTH   (Luxembourg)

^b UNIVERSITY OF ULSTER   (United Kingdom)

^c UNIVERSITY OF EAST ANGLIA   (United Kingdom)

Author keywords

Biomarker discovery; Cardiovascular diseases; Disease networks; Gene set analysis; Human heart failure; Pathway analysis; Translational bioinformatics

Indexed keywords

BIO-MARKER DISCOVERY; CARDIO-VASCULAR DISEASE; HUMAN HEART; PATHWAY ANALYSIS; TRANSLATIONAL BIOINFORMATICS;

BIOINFORMATICS; BIOMARKERS; CLASSIFICATION (OF INFORMATION); DATA PROCESSING; DISEASES; FAILURE ANALYSIS;

GENES;

BIOLOGICAL MARKER;

ARTICLE; BIOINFORMATICS; CANCER RESEARCH; CELL PROLIFERATION; DATA BASE; DISEASE CLASSIFICATION; ENERGY METABOLISM; GENE; GENE EXPRESSION; GENE EXPRESSION OMNIBUS DATABASE; GENETIC ANALYSIS; GENETIC ASSOCIATION; HEART FAILURE; HUMAN; IMMUNE RESPONSE; PRIORITY JOURNAL; PROTEIN SYNTHESIS; SIGNAL TRANSDUCTION;

BIOLOGICAL MARKERS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HEART FAILURE; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; SIGNAL TRANSDUCTION;

EID: 79960559668     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2011.02.003     Document Type: Article

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