Scholars@Duke

• Expertise
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  Subject Headings

  • Computational Biology
  • Machine learning
  • Statistics
• Publications & Artistic Works
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  Selected Publications

  • Academic Articles

    • Corsello, Steven M., Rohith T. Nagari, Ryan D. Spangler, Jordan Rossen, Mustafa Kocak, Jordan G. Bryan, Ranad Humeidi, et al. “Discovering the anti-cancer potential of non-oncology drugs by systematic viability profiling.” Nature Cancer 1, no. 2 (February 2020): 235–48. https://doi.org/10.1038/s43018-019-0018-6.
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    • Wu, Julie, Jordan Bryan, Samuel M. Rubinstein, Lucy Wang, Michele Lenoue-Newton, Raed Zuhour, Mia Levy, et al. “Opportunities and Challenges for Analyzing Cancer Data at the Inter- and Intra-Institutional Levels.” Jco Precision Oncology 4 (January 2020). https://doi.org/10.1200/po.19.00394.
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    • McFarland, James M., Zandra V. Ho, Guillaume Kugener, Joshua M. Dempster, Phillip G. Montgomery, Jordan G. Bryan, John M. Krill-Burger, et al. “Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration.” Nature Communications 9, no. 1 (November 2, 2018): 4610. https://doi.org/10.1038/s41467-018-06916-5.
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    • Gray, Stacy W., Jeffrey Gagan, Ethan Cerami, Angel M. Cronin, Hajime Uno, Nelly Oliver, Carol Lowenstein, et al. “Interactive or static reports to guide clinical interpretation of cancer genomics.” Journal of the American Medical Informatics Association : Jamia 25, no. 5 (May 2018): 458–64. https://doi.org/10.1093/jamia/ocx150.
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    • Meyers, Robin M., Jordan G. Bryan, James M. McFarland, Barbara A. Weir, Ann E. Sizemore, Han Xu, Neekesh V. Dharia, et al. “Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells.” Nature Genetics 49, no. 12 (December 2017): 1779–84. https://doi.org/10.1038/ng.3984.
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    • Mackey, Lester, Jordan Bryan, and Man Yue Mo. “Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge.” Edited by Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, and David Rousseau. Proceedings of the Nips 2014 Workshop on High Energy Physics and Machine Learning 42 (December 13, 2015): 129–34.
    • Bryan, Jordan G., and Peter D. Hoff. “Smaller $p$-values in genomics studies using distilled historical information,” n.d.
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• Scholarly, Clinical, & Service Activities
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  Presentations & Appearances

  • CERES: A New Approach to Correct for Copy Number in CRISPR-Cas9 Screens. CTD^2 D-HIP Webinar Series. CTD^2 Network. July 12, 2018  2018
  • CERES—A model for inferring genetic dependencies in cancer cell lines from CRISPR knockout screens. Meeting on Biological Data Science. Cold Spring Harbor Laboratory. October 26, 2016  2016

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