Computational Methods For Genomic Data Analysis Professors in Global

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Dave Touretzky
Carnegie Mellon University United States of America
computational methods
statistical methods
mathematical methods
computational neuroscience
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John Anderson
Carnegie Mellon University United States of America
computational methods
statistical methods
mathematical methods
computational neuroscience
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Alison Barth
Carnegie Mellon University United States of America
molecular methods
statistical methods
computational neuroscience
anatomical methods
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Sean Eddy
Harvard University United States of America
computational methods
genome analysis
comparative genomics
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Russell Schwartz
Carnegie Mellon University United States of America
computational genomics
computational biology
computational cancer biology
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Anastasia Ignatieva
University of Oxford United Kingdom
computational methods
statistical genomics
genetic analysis
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Bill Press
University of Texas at Austin United States of America
computational statistical methods
computational biology
genomics
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Alexander Ioannidis
Stanford University United States of America
computational techniques
deep learning methods
genomics
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Lukas Weber
Boston University United States of America
statistical computational methods
statistical genomics
high-throughput genomic technologies
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Kostas Konstantinidis
Georgia Institute of Technology United States of America
genomic and proteomic techniques
computational biology
genomics
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Tim Hubbard
King's College London United Kingdom
human genome analysis
computational biology
genomics
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Gos Micklem
University of Cambridge United Kingdom
genome sequencing
computational biology
integrative genomics
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Alexander Hartemink
Duke University Singapore
computational neurobiology
computational biology
genomics
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Lin Chen
University of Chicago United States of America
statistical genomics
statistical methods
integrative genomics data
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Sharene Bungay
Memorial University of Newfoundland Canada
genetic algorithms
numerical methods
computational chemistry
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Mengjie Chen
University of Chicago United States of America
computational biology
statistical methods
genomics
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Ran Blekhman
University of Chicago United States of America
computational biology
deep learning in genomics
human genomics
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Simon Kasif
Boston University United States of America
computational biology
genomics
comparative genomics
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Mike Tarr
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational neuroscience
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Sarah Kummerfeld
University of New South Wales Australia
computational biology
genomics
clinical genomics
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Miklós Csűrös
Université de Montréal Canada
genome sequencing
evolutionary genomics
genetic algorithm
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