A probabilistic approach for automated discovery of perturbed genes using expression data from microarray or RNA-Seq

Computers in Biology and Medicine

Volumn 67, Issue , 2015, Pages 29-40

  Sundaramurthy, Gopinath ^a   Eghbalnia, Hamid R ^a  

^a UNIVERSITY OF CINCINNATI COLLEGE OF MEDICINE   (United States)

Author keywords

Biomarker discovery; Breast cancer; Complex disease; Genomics; Microarrays; Network analysis; Probabilistic modeling; RNA Seq; Robust; Signaling and regulatory network

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; BIOASSAY; BIOMARKERS; CLASSIFICATION (OF INFORMATION); COMPLEX NETWORKS; DISEASES; ELECTRIC NETWORK ANALYSIS; GAME THEORY; GENES; LEARNING ALGORITHMS; LEARNING SYSTEMS; MICROARRAYS; RNA;

BIO-MARKER DISCOVERY; BREAST CANCER; COMPLEX DISEASE; GENOMICS; PROBABILISTIC MODELING; REGULATORY NETWORK; ROBUST;

GENE EXPRESSION;

BIOLOGICAL MARKER; TUMOR MARKER; TUMOR PROTEIN;

ARTICLE; BREAST CANCER; DISEASE RELATED GENE; DOWN REGULATION; FATTY ACID SYNTHESIS; GAME; GENE; GENE EXPRESSION; GENE IDENTIFICATION; GENE INTERACTION; GENETIC ALGORITHM; GENETIC ANALYSIS; GENOMICS; HUMAN; LABORATORY AUTOMATION; MACHINE LEARNING; MICROARRAY ANALYSIS; PATH ANALYSIS; PRIORITY JOURNAL; REPORTER GENE; RNA SEQUENCE; UPREGULATION; ALGORITHM; ANIMAL; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; METABOLISM; NEOPLASM; PROCEDURES; SEQUENCE ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; BIOMARKERS, TUMOR; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MODELS, STATISTICAL; NEOPLASM PROTEINS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SEQUENCE ANALYSIS, RNA;

EID: 84944723256     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2015.07.029     Document Type: Article

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