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Paul M. Lieberman
Publication Activity (10 Years)
Years Active: 2016-2022
Publications (10 Years): 2
Top Topics
Design Principles
Deep Learning
Weakly Supervised
Restricted Boltzmann Machine
Top Venues
BIBM
J. Comput. Aided Mol. Des.
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Publications
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Abdurrahman Elbasir
,
Ying Ye
,
Daniel E. Schäffer
,
Jayamanna Wickramasinghe
,
Xue Hao
,
Paul M. Lieberman
,
Quaid Morris
,
Rugang Zhang
,
Alejandro A. Schäffer
,
Noam Auslander
Characterizing The Landscape Of Viral Expression In Cancer By Deep Learning.
BIBM
(2022)
Eleonora Gianti
,
Troy E. Messick
,
Paul M. Lieberman
,
Randy J. Zauhar
Computational analysis of EBNA1 "druggability" suggests novel insights for Epstein-Barr virus inhibitor design.
J. Comput. Aided Mol. Des.
30 (4) (2016)