Analysis of genomic and proteomic data using advanced literature mining

Journal of Proteome Research

Volumn 2, Issue 4, 2003, Pages 405-412

  Hu, Yanhui ^a   Hines, Lisa M ^a   Weng, Haifeng ^a   Zuo, Dongmei ^a   Rivera, Miguel ^a   Richardson, Andrea ^a   LaBaer, Joshua ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Bioinformatics; Breast cancer; Gene disease association; Micro array; Text mining

Indexed keywords

ESTROGEN RECEPTOR;

ARTICLE; AUTOMATION; BIOINFORMATICS; BIOMEDICINE; BREAST; BREAST CANCER; CLINICAL GENETICS; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA ANALYSIS; DNA MICROARRAY; GENE EXPRESSION; GENOME ANALYSIS; HUMAN; HUMAN TISSUE; MEDICAL LITERATURE; MEDLINE; PRIORITY JOURNAL; PROTEOMICS; SCREENING TEST;

ABSTRACTING AND INDEXING; ALGORITHMS; ARTERIOSCLEROSIS; ARTHRITIS, RHEUMATOID; AUTOMATIC DATA PROCESSING; BIPOLAR DISORDER; BREAST NEOPLASMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; DATABASES, BIBLIOGRAPHIC; DATABASES, GENETIC; DISEASE; FEMALE; GENE EXPRESSION; GENOMICS; HUMANS; HYPERTENSION; MEDLINE; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEOMICS; RECEPTORS, ESTRADIOL; SOFTWARE VALIDATION;

EID: 0042855664     PISSN: 15353893     EISSN: None     Source Type: Journal    
DOI: 10.1021/pr0340227     Document Type: Article

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