Revealing weak differential gene expressions and their reproducible functions associated with breast cancer metastasis

Computational Biology and Chemistry

Volumn 39, Issue , 2012, Pages 1-5

  Zou, Jinfeng ^a   Hao, Chunxiang ^a   Hong, Guini ^a   Zheng, Junjie ^a   He, Lang ^a   Guo, Zheng ^a,b  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b HARBIN MEDICAL UNIVERSITY   (China)

Author keywords

Breast cancer metastasis; Clustering; Reproducible functions; Systems disease; Weak differential gene expression

Indexed keywords

BIOLOGICAL PROCESS; BREAST CANCER; CANCER METASTASIS; CELL CYCLE; CELL DIVISIONS; CHROMOSOME SEGREGATION; CLUSTERING; CLUSTERING APPROACH; DATA SETS; DIFFERENTIAL EXPRESSIONS; DIFFERENTIAL GENE EXPRESSIONS; DISEASE STATE; FALSE DISCOVERY RATE; GENE LISTS; LOW POWER; MICROARRAY DATA;

CELL PROLIFERATION; DISEASES; PATHOLOGY; STATE ASSIGNMENT; UNCERTAINTY ANALYSIS;

GENE EXPRESSION;

ARTICLE; BREAST TUMOR; CLUSTER ANALYSIS; COMPUTER SIMULATION; DNA MICROARRAY; FEMALE; GENE EXPRESSION REGULATION; GENETICS; HUMAN; METASTASIS;

BREAST NEOPLASMS; CLUSTER ANALYSIS; COMPUTER SIMULATION; FEMALE; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; NEOPLASM METASTASIS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

EID: 84861416429     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2012.04.002     Document Type: Article

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