Applying computation biology and "big data" to develop multiplex diagnostics for complex chronic diseases such as osteoarthritis

Biomarkers

Volumn 20, Issue 8, 2015, Pages 533-539

  Ren, Guomin ^a   Krawetz, Roman ^a,b  

^a UNIVERSITY OF CALGARY   (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

Chronic disease; Computational biology; Diagnostics; Osteoarthritis

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BIOLOGY; CHRONIC DISEASE; CLINICAL PRACTICE; DIAGNOSTIC PROCEDURE; DISCRIMINANT ANALYSIS; DNA METHYLATION; DNA SEQUENCE; EARLY DIAGNOSIS; ENVIRONMENTAL FACTOR; EPIGENETICS; GENE EXPRESSION PROFILING; GENETIC ASSOCIATION; HIGH THROUGHPUT SEQUENCING; HUMAN; LIFESTYLE; METABOLOMICS; NON INVASIVE PROCEDURE; NONHUMAN; OSTEOARTHRITIS; PRINCIPAL COMPONENT ANALYSIS; PROTEOMICS; REVIEW; RNA SEQUENCE; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS; SUPPORT VECTOR MACHINE; SYSTEMS BIOLOGY; TRANSCRIPTOMICS; ANIMAL; DATA MINING; FACTUAL DATABASE; GENETIC MARKER; GENETICS; GENOMICS; HIGH THROUGHPUT SCREENING; METABOLISM; PREDICTIVE VALUE; PROCEDURES; PROGNOSIS;

BIOLOGICAL MARKER; GENETIC MARKER; PROTEIN;

ANIMALS; BIOMARKERS; COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES, FACTUAL; GENETIC MARKERS; GENOMICS; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; OSTEOARTHRITIS; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PROTEINS; SYSTEMS BIOLOGY;

EID: 84958033960     PISSN: 1354750X     EISSN: 13665804     Source Type: Journal    
DOI: 10.3109/1354750X.2015.1105499     Document Type: Review

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