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Volumn , Issue , 2014, Pages 125-135
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Drug Intervention Response Predictions with PARADIGM (DIRPP) identifies drug resistant cancer cell lines and pathway mechanisms of resistance
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Author keywords
[No Author keywords available]
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Indexed keywords
CELL CULTURE;
DATA INTEGRATION;
DISEASES;
FORECASTING;
PIPELINES;
TUMORS;
ACCURACY AND PRECISION;
CELLULAR RESPONSE;
GENE EXPRESSION DATA;
INTERVENTION RESPONSE;
MECHANISMS OF RESISTANCES;
MOLECULAR MECHANISM;
PROBABILISTIC GRAPHICAL MODELS;
RECOGNITION ALGORITHM;
GENE EXPRESSION;
ALGORITHM;
ARTICLE;
BIOLOGICAL MODEL;
BIOLOGY;
BREAST TUMOR;
DRUG DATABASE;
DRUG DEVELOPMENT;
DRUG RESISTANCE;
ENDOMETRIUM TUMOR;
FEMALE;
GENETIC DATABASE;
GENETICS;
HUMAN;
METABOLISM;
NEOPLASM;
OVARY TUMOR;
STATISTICAL MODEL;
STATISTICS;
TUMOR CELL LINE;
ALGORITHMS;
BREAST NEOPLASMS;
CELL LINE, TUMOR;
COMPUTATIONAL BIOLOGY;
DATABASES, GENETIC;
DATABASES, PHARMACEUTICAL;
DRUG DISCOVERY;
DRUG RESISTANCE, NEOPLASM;
ENDOMETRIAL NEOPLASMS;
FEMALE;
HUMANS;
MODELS, GENETIC;
MODELS, STATISTICAL;
NEOPLASMS;
OVARIAN NEOPLASMS;
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EID: 84905871217
PISSN: 23356928
EISSN: 23356936
Source Type: Journal
DOI: None Document Type: Conference Paper |
Times cited : (18)
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References (21)
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