Computational discovery of transcription factors associated with drug response.

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Knowledge-guided gene prioritization reveals new insights into the mechanisms of chemoresistance.Genetic variation in human drug-related genes.

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P2860

Computational discovery of transcription factors associated with drug response.

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2015 nî lūn-bûn

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Computational discovery of transcription factors associated with drug response.

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Computational discovery of transcription factors associated with drug response.

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Computational discovery of transcription factors associated with drug response.

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C Hanson

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J Cairns

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L Wang

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P2860

Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

A user's guide to the encyclopedia of DNA elements (ENCODE)

Genetic association with overall survival of taxane-treated lung cancer patients - a genome-wide association study in human lymphoblastoid cell lines followed by a clinical association study

Predicting cancer drug response by protoeomic profiling

Expression of the Bcl-3 proto-oncogene suppresses p53 activation

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Q27021937

Pharmacogenomics of chemotherapeutic susceptibility and toxicity

Principal components analysis corrects for stratification in genome-wide association studies

Comprehensive mapping of long-range interactions reveals folding principles of the human genome

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tpj.2015.74

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573-582

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10.1038/TPJ.2015.74

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Computational discovery of transcription factors associated with drug response.

about

P2860

P2860

Computational discovery of transcription factors associated with drug response.

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