Identifying differentially expressed genes in cancer patients using a non-parameter Ising model

Proteomics

Volumn 11, Issue 19, 2011, Pages 3845-3852

  Li, Xumeng ^a,b   Feltus, Frank A ^c   Sun, Xiaoqian ^c   Wang, James Z ^a   Luo, Feng ^a  

^a Clemson University   (United States)

^b HUNAN AGRICULTURAL UNIVERSITY   (China)

^c CLEMSON UNIVERSITY   (United States)

Author keywords

Bioinformatics; Differentially expressed genes; Ising model; Microarray; Protein interaction network

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; BREAST CANCER; CANCER PATIENT; GENE EXPRESSION PROFILING; GENE IDENTIFICATION; HUMAN; MICROARRAY ANALYSIS; NON PARAMETER ISING MODEL; PRIORITY JOURNAL; PROBABILITY; PROTEIN ANALYSIS; PROTEIN PROTEIN INTERACTION; PROTEIN STRUCTURE; SENSITIVITY AND SPECIFICITY; SIMULATION;

ALGORITHMS; BREAST NEOPLASMS; COMPUTER SIMULATION; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEIN INTERACTION MAPS; SENSITIVITY AND SPECIFICITY;

EID: 80053027482     PISSN: 16159853     EISSN: 16159861     Source Type: Journal    
DOI: 10.1002/pmic.201100180     Document Type: Article

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