Expression Efficacy Prediction Professors in Global

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Rina Foygel Barber
University of Chicago United States of America
prediction
statistical estimation
conformal prediction
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction error estimation
prediction modeling
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Michael Sternberg
Imperial College London United Kingdom
function prediction
protein structure prediction
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Stefan Hergarten
University of Freiburg Germany
risk prediction
hazard prediction
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Philipp Sterzinger
London School of Economics United Kingdom
prediction
estimation
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Zhijin Wu
Brown University United States of America
differential expression analysis
gene expression analysis
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Burkhard Rost
Technical University of Munich Germany
protein structure prediction
gene structure prediction
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Maria Ugalde
McGill University Canada
protein expression
gene expression
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Jean-yves Pitarakis
University of Southampton United Kingdom
predictive accuracy testing
predictive regressions
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David Melhart
University of Southern Denmark Denmark
player experience prediction
emotion modelling
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Elle Saber
Australian National University Australia
predictive modeling
genomic prediction
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Mark Campbell
Cornell University Netherlands
estimation theory
probabilistic perception
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Tess Smidt
Massachusetts Institute of Technology United States of America
design property prediction
representation learning
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Hanna Lund
Technical University of Denmark Denmark
expression efficacy prediction
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Hae Kyung Im
University of Chicago United States of America
gene expression prediction
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Paolo Bientinesi
Umeå University Sweden
performance prediction
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Mike Holenderski
Eindhoven University of Technology Belgium
performance prediction
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Karen Therkelsen
Technical University of Denmark Denmark
enzyme specificity prediction
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Naomi Nota
University of Edinburgh United Kingdom
language prediction
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Allan Abbott
Linköping University Sweden
outcome prediction
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Paul Enthoven
Linköping University Sweden
outcome prediction
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