基本信息
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Our overarching goal is to transform how we understand complex biological systems by developing and applying computational algorithms that effectively model processes by integrating multiple types of big data from diverse experiments. This allows us to infer the key contextual information required to interpret such data, and facilitates both the computationally driven asking and answering of basic science and translational research questions.
Research Interests
Papers共 275 篇Author StatisticsCo-AuthorSimilar Experts
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Journal of the American Veterinary Medical Associationno. 5 (2024): 1-8
eNeurono. 6 (2024)
Allegra G. Hawkins,Joshua A. Shapiro,Stephanie J. Spielman, David S. Mejia,Deepashree Venkatesh Prasad, Nozomi Ichihara, Arkadii Yakovets, Kurt G. Wheeler,Chante J. Bethell,Steven M. Foltz, Jennifer O’Malley,Casey S. Greene,
biorxiv(2024)
eLife (2024)
Microbiology spectrumno. 4 (2024): e0315723-e0315723
Emily C Hearst, James L Martin,Kristy R Crooks,Casey S Greene, Kaitlyn W Hess, Natalie Johnson,David P Kao,Nicholas Rafaels, Katelyn Carson,Cheryl L Meguid, Kate Taucher,S. Lindsey Davis,
Journal of Clinical Oncologyno. 16_suppl (2024): 1546-1546
Allegra G. Hawkins,Joshua A. Shapiro,Stephanie J. Spielman, David S. Mejia,Deepashree Venkatesh Prasad, Nozomi Ichihara, Arkadii Yakovets, Kurt G. Wheeler,Chanté J. Bethell,Steven M. Foltz, Jennifer O'Malley,Casey S. Greene,
Cancer Researchno. 6_Supplement (2024): 2859-2859
bioRxiv : the preprint server for biology (2024)
Adriana Ivich,Natalie R. Davidson,Laurie Grieshober, Weishan Li,Stephanie C. Hicks,Jennifer A. Doherty,Casey S. Greene
biorxiv(2024)
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