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Big Data Approaches for Modeling Response and Resistance to Cancer Drugs.
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Big science and big data in nephrology.
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The Scope of Big Data in One Medicine: Unprecedented Opportunities and Challenges.
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Big data in basic and translational cancer research.
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-Omic and Electronic Health Record Big Data Analytics for Precision Medicine.
IEEE Trans Biomed Eng. 2017 Feb;64(2):263-273. doi: 10.1109/TBME.2016.2573285. Epub 2016 Oct 10.
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Computer-aided biomarker discovery for precision medicine: data resources, models and applications.
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Targeted therapy in cancer.
Cancer Chemother Pharmacol. 2015 Dec;76(6):1113-32. doi: 10.1007/s00280-015-2861-1. Epub 2015 Sep 21.

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The present and future of the Cancer Dependency Map.
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Big data in basic and translational cancer research.
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Systematic investigation of cytokine signaling activity at the tissue and single-cell levels.
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Spike-in normalization for single-cell RNA-seq reveals dynamic global transcriptional activity mediating anticancer drug response.
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Systematic prediction of drug resistance caused by transporter genes in cancer cells.
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The promise and challenge of cancer microbiome research.
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Genome-Scale Signatures of Gene Interaction from Compound Screens Predict Clinical Efficacy of Targeted Cancer Therapies.
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The commensal microbiome is associated with anti-PD-1 efficacy in metastatic melanoma patients.
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A major chromatin regulator determines resistance of tumor cells to T cell-mediated killing.
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Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients.
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Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab.
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