基本信息
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Bio
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.
Research Interests
Papers共 197 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
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期刊级别
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合作机构
JMIR human factors (2025): e50331-e50331
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICSno. 1 (2025): 1180-1190
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICSno. 1 (2025): 569-579
Mark S Keller, Eric Moerth, Thomas Chris Smits,Simon Warchol,Qianwen Wang, Robert Krueger,Hanspeter Pfister,Nils Gehlenborg
crossref(2025)
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICSno. 1 (2025): 283-293
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICSno. 1 (2025): 459-469
Nature methodsno. 1 (2024): 63-67
Proceedings of the Python in Science Conference Proceedings of the 23rd Python in Science Conference (2024)
crossref(2024)
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Author Statistics
#Papers: 196
#Citation: 19438
H-Index: 33
G-Index: 116
Sociability: 8
Diversity: 2
Activity: 33
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