Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies.

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A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines.Functional precision medicine identifies novel druggable targets and therapeutic options in head and neck cancer.

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Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies.

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Modeling gene-wise dependencie ...... biomarkers in cancer studies.

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Modeling gene-wise dependencie ...... biomarkers in cancer studies.

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Modeling gene-wise dependencie ...... biomarkers in cancer studies.

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P1476

Modeling gene-wise dependencie ...... biomarkers in cancer studies.

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Adam A Margolin

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Christopher Kemp

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Olga Nikolova

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Russell Moser

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Cancer genome landscapes

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Serine, glycine and one-carbon units: cancer metabolism in full circle

Is dietary fat, vitamin D, or folate associated with pancreatic cancer?

Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2.

Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib

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1362-1369

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scholarly article

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10.1093/BIOINFORMATICS/BTW836

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English

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Mehmet Gönen

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2017-05-01T00:00:00Z

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28082455

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biomarker

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5860077

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Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies.

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P2860

P2860

Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies.

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