Improving the prediction of chemotherapeutic sensitivity of tumors in breast cancer via optimizing the selection of candidate genes

Computational Biology and Chemistry

Volumn 49, Issue , 2014, Pages 71-78

  Jiang, Lina ^a   Huang, Liqiu ^a   Kuang, Qifan ^a   Zhang, Juan ^a   Li, Menglong ^a   Wen, Zhining ^a   He, Li ^b  

^a SICHUAN UNIVERSITY   (China)

^b AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

Author keywords

Breast cancer; Cancer outcome prediction; Gene expression profiling; Gene prioritization; Support vector machine

Indexed keywords

CHEMOTHERAPY; FORECASTING; GENE EXPRESSION; OPTIMIZATION; PATHOLOGY; SILICON; STATISTICAL METHODS; SUPPORT VECTOR MACHINES; TUMORS;

BREAST CANCER; CORRELATION COEFFICIENT; DIFFERENTIALLY EXPRESSED GENE; GENE EXPRESSION PROFILING; GENE PRIORITIZATION; GENE SET ENRICHMENT ANALYSIS; OUTCOME PREDICTION; TRADITIONAL CHINESE MEDICINE;

DISEASES;

ANTINEOPLASTIC AGENT; HERBACEOUS AGENT; SI-WU-TANG;

BREAST NEOPLASMS; DNA MICROARRAY; FEMALE; GENE EXPRESSION PROFILING; GENETICS; HUMAN; MCF 7 CELL LINE; PREDICTIVE VALUE;

ANTINEOPLASTIC AGENTS, PHYTOGENIC; BREAST NEOPLASMS; DRUGS, CHINESE HERBAL; FEMALE; GENE EXPRESSION PROFILING; HUMANS; MCF-7 CELLS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PREDICTIVE VALUE OF TESTS;

EID: 84897476141     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2013.12.002     Document Type: Article

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