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Pierre Baldi

Showing results (71-80 of 260) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|April 8, 2020
Learning in the machine: To share or not to share?Jordan Ott, Erik Linstead, Nicholas LaHaye, et al.
Bioinformatics (Oxford, England)|November 17, 2007
TMBpro: secondary structure, beta-contact and tertiary structure prediction of transmembrane beta-barrel proteinsArlo Randall, Jianlin Cheng, Michael Sweredoski, et al.
Artificial Intelligence in Medicine|June 29, 2004
Structural proteomics of the poxvirus familyArlo Z Randall, Pierre Baldi, Luis P Villarreal
Neural Networks : the Official Journal of the International Neural Network Society|September 15, 2005
Graph kernels for chemical informaticsLiva Ralaivola, Sanjay J Swamidass, Hiroto Saigo, et al.
Journal of Chemical Information and Modeling|January 12, 2022
Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical ReactivityMohammadamin Tavakoli, Aaron Mood, David Van Vranken, et al.
Journal of Chemical Information and Modeling|March 23, 2011
Data-driven high-throughput prediction of the 3-D structure of small molecules: review and progressAlessio Andronico, Arlo Randall, Ryan W Benz, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 19, 2010
Computational and single-molecule force studies of a macro domain protein reveal a key molecular determinant for mechanical stabilityDora L Guzmán, Arlo Randall, Pierre Baldi, et al.
Bioinformatics (Oxford, England)|January 7, 2016
VIRALpro: a tool to identify viral capsid and tail sequencesClovis Galiez, Christophe N Magnan, Francois Coste, et al.
Journal of Cheminformatics|January 1, 2016
Accurate and efficient target prediction using a potency-sensitive influence-relevance voterAlessandro Lusci, Michael Browning, David Fooshee, et al.
BMC Bioinformatics|October 16, 2010
Data structures and compression algorithms for high-throughput sequencing technologiesKenny Daily, Paul Rigor, Scott Christley, et al.
Pageof 26

Showing results (71-80 of 260) with videos related to

Sort By:
Pageof 26
Neural Networks : the Official Journal of the International Neural Network Society|April 8, 2020
Learning in the machine: To share or not to share?Jordan Ott, Erik Linstead, Nicholas LaHaye, et al.
Bioinformatics (Oxford, England)|November 17, 2007
TMBpro: secondary structure, beta-contact and tertiary structure prediction of transmembrane beta-barrel proteinsArlo Randall, Jianlin Cheng, Michael Sweredoski, et al.
Artificial Intelligence in Medicine|June 29, 2004
Structural proteomics of the poxvirus familyArlo Z Randall, Pierre Baldi, Luis P Villarreal
Neural Networks : the Official Journal of the International Neural Network Society|September 15, 2005
Graph kernels for chemical informaticsLiva Ralaivola, Sanjay J Swamidass, Hiroto Saigo, et al.
Journal of Chemical Information and Modeling|January 12, 2022
Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical ReactivityMohammadamin Tavakoli, Aaron Mood, David Van Vranken, et al.
Journal of Chemical Information and Modeling|March 23, 2011
Data-driven high-throughput prediction of the 3-D structure of small molecules: review and progressAlessio Andronico, Arlo Randall, Ryan W Benz, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 19, 2010
Computational and single-molecule force studies of a macro domain protein reveal a key molecular determinant for mechanical stabilityDora L Guzmán, Arlo Randall, Pierre Baldi, et al.
Bioinformatics (Oxford, England)|January 7, 2016
VIRALpro: a tool to identify viral capsid and tail sequencesClovis Galiez, Christophe N Magnan, Francois Coste, et al.
Journal of Cheminformatics|January 1, 2016
Accurate and efficient target prediction using a potency-sensitive influence-relevance voterAlessandro Lusci, Michael Browning, David Fooshee, et al.
BMC Bioinformatics|October 16, 2010
Data structures and compression algorithms for high-throughput sequencing technologiesKenny Daily, Paul Rigor, Scott Christley, et al.
Pageof 26