Serum cancer biomarker discovery through analysis of gene expression data sets across multiple tumor and normal tissues

Journal of Biomedical Informatics

Volumn 44, Issue 6, 2011, Pages 1076-1085

  Jin, Hoon ^a   Lee, Han Chul ^a   Park, Sung Sup ^a   Jeong, Yong Su ^b   Kim, Seon Young ^a  

^a Korea Research Institute of Bioscience and Biotechnology (KRIBB)   (South Korea)

^b Kyung Hee University   (South Korea)

Author keywords

Cancer serum biomarker; Gene expression; Multiple normal tissues corrected differential analysis; Tissue specificity analysis

Indexed keywords

BIO-MARKER DISCOVERY; CANCER BIOMARKERS; CANCER RESEARCH; CANCER SCREENING; COMPUTATION METHODS; DATA SETS; DIFFERENTIAL ANALYSIS; GENE EXPRESSION DATA; HIGH-THROUGHPUT TECHNOLOGIES; METABOLOMICS; NORMAL TISSUE; PROBLEMS AND CHALLENGES; PROTEOMICS; SIMULATION STUDIES; TISSUE SPECIFICITY; TISSUE SPECIFICITY ANALYSIS; TRANSCRIPTOMICS;

BIOMARKERS; BODY FLUIDS; DIAGNOSIS; DISEASES; HISTOLOGY; MOLECULAR BIOLOGY; TUMORS;

GENE EXPRESSION;

BIOLOGICAL MARKER; TUMOR MARKER;

ARTICLE; CANCER TISSUE; CONTROLLED STUDY; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC ANALYSIS; HUMAN; HUMAN TISSUE; PRIORITY JOURNAL; SIMULATION; TISSUE SPECIFICITY; UPREGULATION;

GENE EXPRESSION; GENE EXPRESSION PROFILING; HUMANS; NEOPLASMS; ORGAN SPECIFICITY; PROTEOMICS; TUMOR MARKERS, BIOLOGICAL; UP-REGULATION;

EID: 84355167482     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2011.08.010     Document Type: Article

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