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The goal of Gehlenborg’s research is to improve human health by developing computational techniques and interfaces that enable scientists and clinicians to efficiently interact with biomedical data. Tight integration of algorithmic approaches from biomedical informatics with advanced data visualization techniques is central to his efforts, as is close collaboration with clinicians and experimentalists. Currently, Gehlenborg is researching and developing novel tools to visualize heterogeneous data from large-scale cancer genomics studies such as The Cancer Genome Atlas, integrating visual and computational approaches to support sense-making in biology, and using software to support reproducible collaborative research in epigenomics and genomics.
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论文共 182 篇作者统计合作学者相似作者
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Debora L. Gisch,Michelle Brennan,Blue B. Lake, Jeannine Basta, Mark S. Keller,Ricardo Melo Ferreira,Shreeram Akilesh,Reetika Ghag,Charles Lu,Ying-Hua Cheng,Kimberly S. Collins,Samir V. Parikh,
Nature Communicationsno. 1 (2024): 1-21
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JMIR FORMATIVE RESEARCH (2023): e41346-e41346
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Nature methodsno. 8 (2023): 1174-1178
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