Detecting novel hypermethylated genes in Breast cancer benefiting from feature selection

Computers in Biology and Medicine

Volumn 40, Issue 2, 2010, Pages 159-167

  Lv, Jie ^a   Su, Jianzhong ^a   Wang, Fang ^a   Qi, Yunfeng ^a   Liu, Hongbo ^a   Zhang, Yan ^a  

^a HARBIN MEDICAL UNIVERSITY   (China)

Author keywords

Breast cancer; Feature selection; Genomic features; Hypermethylation; Weka

Indexed keywords

BREAST CANCER; CPG ISLANDS; FEATURE SELECTION; FEATURE SELECTION ALGORITHM; FEATURE SUBSET; GENE ONTOLOGY; HYPERMETHYLATION; PROMOTER REGION;

ONTOLOGY;

GENES;

ARTICLE; BIOINFORMATICS; BREAST CANCER; CLASSIFIER; CONTROLLED STUDY; CPG ISLAND; DNA METHYLATION; GENE IDENTIFICATION; GENETIC ALGORITHM; PREDICTION; PRIORITY JOURNAL; STUDENT T TEST;

ALGORITHMS; AREA UNDER CURVE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BREAST NEOPLASMS; COMPUTATIONAL BIOLOGY; CPG ISLANDS; DATABASES, GENETIC; DNA METHYLATION; DNA, NEOPLASM; FEMALE; GENES, NEOPLASM; HUMANS; LUNG NEOPLASMS; PROMOTER REGIONS, GENETIC; ROC CURVE; SOFTWARE;

GALLIRALLUS AUSTRALIS;

EID: 77649192026     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2009.11.012     Document Type: Article

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