Data Mining the NCI Cancer Cell Line Compound GI50 Values: Identifying Quinone Subtypes Effective Against Melanoma and Leukemia Cell Classes

Journal of Chemical Information and Computer Sciences

Volumn 43, Issue 5, 2003, Pages 1652-1667

  Marx, Kenneth A ^a,b   O'Neil, Philip ^a   Hoffman, Patrick ^a   Ujwal, M L ^a  

^a AnVil Incorporated   (United States)

^b University of Massachusetts Lowell   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CELLS; MOLECULAR STRUCTURE; PROBLEM SOLVING; TISSUE; TUMORS;

LIGANDS;

DATA MINING;

ANTINEOPLASTIC AGENT; QUINONE DERIVATIVE;

ALGORITHM; ARTICLE; CHEMISTRY; CLASSIFICATION; CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; DNA MICROARRAY; DRUG SCREENING; GENE EXPRESSION; GENETIC DATABASE; GENETICS; HUMAN; LEUKEMIA; MELANOMA; METHODOLOGY; STATISTICS; TUMOR CELL LINE;

ALGORITHMS; ANTINEOPLASTIC AGENTS; CELL LINE, TUMOR; CLUSTER ANALYSIS; DATABASES, GENETIC; DISCRIMINANT ANALYSIS; DRUG SCREENING ASSAYS, ANTITUMOR; GENE EXPRESSION; HUMANS; LEUKEMIA; MELANOMA; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; QUINONES;

EID: 0141890715     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci034050+     Document Type: Article

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