Predicting cancer-related MiRNAs using expression profiles in tumor tissue

Current Pharmaceutical Biotechnology

Volumn 15, Issue 5, 2014, Pages 438-444

  Wang, Hsiuying ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Cancer; Microarray expression profile; MicroRNA; Normal tissue; The relative R squared method; Tumor tissue

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR; MESSENGER RNA; MICRORNA; MICRORNA 1; MICRORNA 100; MICRORNA 124A; MICRORNA 125B; MICRORNA 143; MICRORNA 145; MICRORNA 155; MICRORNA 193; MICRORNA 194; MICRORNA 199A; MICRORNA 200; MICRORNA 200A; MICRORNA 200B; MICRORNA 200C; MICRORNA 205; MICRORNA 206; MICRORNA 21; MICRORNA 216; MICRORNA 218; MICRORNA 22; MICRORNA 223; MICRORNA 29A; MICRORNA 29B; MICRORNA 30B; MICRORNA 34A; MICRORNA 99A; UNCLASSIFIED DRUG; UNINDEXED DRUG;

APOPTOSIS; ARTICLE; BLADDER CANCER; BREAST CANCER; CANCER TISSUE; COLON CANCER; COMPARATIVE STUDY; GENE EXPRESSION; GENE MUTATION; GENETIC ASSOCIATION; HUMAN; KIDNEY CANCER; LUNG CANCER; MICROARRAY ANALYSIS; NEOPLASM; ONCOGENE; PANCREAS CANCER; PROSTATE CANCER; STATISTICAL ANALYSIS; ANIMAL; BIOSYNTHESIS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; METABOLISM;

ANIMALS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MICRORNAS; NEOPLASMS;

EID: 84907169675     PISSN: 13892010     EISSN: 18734316     Source Type: Journal    
DOI: 10.2174/1389201015666140519121255     Document Type: Article

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