Using bioinformatic approaches to identify pathways targeted by human leukemogens

International Journal of Environmental Research and Public Health

Volumn 9, Issue 7, 2012, Pages 2479-2503

  Thomas, Reuben ^a   Phuong, Jimmy ^a   Mchale, Cliona M ^a   Zhang, Luoping ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Carcinogen; clustering; Comparative toxicogenomics database; Leukemogen; Pathway

Indexed keywords

2,3,7,8 TETRACHLORODIBENZO PARA DIOXIN; ALKYLATING AGENT; ARACHIDONIC ACID; AZATHIOPRINE; BENZENE; CARCINOGEN; CARMUSTINE; CYCLOPHOSPHAMIDE; CYTOCHROME P450; DIETHYLSTILBESTROL; EPIDERMAL GROWTH FACTOR RECEPTOR; ETOPOSIDE; GLUTATHIONE; GYRASE INHIBITOR; MITOGEN ACTIVATED PROTEIN KINASE; NEUROTROPHIN; PHENACETIN; PROTEIN P53; RETINOL; TAMOXIFEN; TETRACHLOROETHYLENE; TOLL LIKE RECEPTOR; TOXIC SUBSTANCE; TRICHLOROETHYLENE; XENOBIOTIC AGENT;

APOPTOSIS; BIOINFORMATICS; BLOOD SYSTEM DISORDER; CARCINOGEN; CLUSTER ANALYSIS; DATABASE; GENE; GENOME;

APOPTOSIS; ARTICLE; BILE SECRETION; BIOINFORMATICS; CANCER RESEARCH; CANCER RISK; DISEASE ASSOCIATION; FATTY ACID METABOLISM; GENE TARGETING; GENETIC ANALYSIS; GLUTATHIONE METABOLISM; HUMAN; LEUKEMIA; LEUKEMOGENESIS; NONHUMAN; PROTEIN METABOLISM; PROTEIN TARGETING; SIGNAL TRANSDUCTION; SUPPORT VECTOR MACHINE; TOXICOGENETICS;

EID: 84863880353     PISSN: None     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph9072479     Document Type: Article

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