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Pierre Baldi

Showing results (31-40 of 260) with videos related to

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Bioinformatics (Oxford, England)|September 25, 2020
Fold recognition by scoring protein maps using the congruence coefficientPietro Di Lena, Pierre Baldi
Journal of Chemical Information and Modeling|July 16, 2009
An intersection inequality sharper than the tanimoto triangle inequality for efficiently searching large databasesPierre Baldi, Daniel S Hirschberg
Bioinformatics (Oxford, England)|April 30, 2008
PEPITO: improved discontinuous B-cell epitope prediction using multiple distance thresholds and half sphere exposureMichael J Sweredoski, Pierre Baldi
Journal of Chemical Information and Modeling|September 18, 2012
ReactionPredictor: prediction of complex chemical reactions at the mechanistic level using machine learningMatthew A Kayala, Pierre Baldi
Neural Networks : the Official Journal of the International Neural Network Society|March 20, 2021
SPLASH: Learnable activation functions for improving accuracy and adversarial robustnessMohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi
Bioinformatics (Oxford, England)|February 28, 2014
Incorporating post-translational modifications and unnatural amino acids into high-throughput modeling of protein structuresKen Nagata, Arlo Randall, Pierre Baldi
Proteins|November 11, 2011
SIDEpro: a novel machine learning approach for the fast and accurate prediction of side-chain conformationsKen Nagata, Arlo Randall, Pierre Baldi
Bioinformatics (Oxford, England)|May 23, 2002
Distribution patterns of over-represented k-mers in non-coding yeast DNASteven Hampson, Dennis Kibler, Pierre Baldi
Journal of Chemical Information and Modeling|June 26, 2013
Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like moleculesAlessandro Lusci, Gianluca Pollastri, Pierre Baldi
Bioinformatics (Oxford, England)|November 20, 2008
MotifMap: a human genome-wide map of candidate regulatory motif sitesXiaohui Xie, Paul Rigor, Pierre Baldi
Pageof 26

Showing results (31-40 of 260) with videos related to

Sort By:
Pageof 26
Bioinformatics (Oxford, England)|September 25, 2020
Fold recognition by scoring protein maps using the congruence coefficientPietro Di Lena, Pierre Baldi
Journal of Chemical Information and Modeling|July 16, 2009
An intersection inequality sharper than the tanimoto triangle inequality for efficiently searching large databasesPierre Baldi, Daniel S Hirschberg
Bioinformatics (Oxford, England)|April 30, 2008
PEPITO: improved discontinuous B-cell epitope prediction using multiple distance thresholds and half sphere exposureMichael J Sweredoski, Pierre Baldi
Journal of Chemical Information and Modeling|September 18, 2012
ReactionPredictor: prediction of complex chemical reactions at the mechanistic level using machine learningMatthew A Kayala, Pierre Baldi
Neural Networks : the Official Journal of the International Neural Network Society|March 20, 2021
SPLASH: Learnable activation functions for improving accuracy and adversarial robustnessMohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi
Bioinformatics (Oxford, England)|February 28, 2014
Incorporating post-translational modifications and unnatural amino acids into high-throughput modeling of protein structuresKen Nagata, Arlo Randall, Pierre Baldi
Proteins|November 11, 2011
SIDEpro: a novel machine learning approach for the fast and accurate prediction of side-chain conformationsKen Nagata, Arlo Randall, Pierre Baldi
Bioinformatics (Oxford, England)|May 23, 2002
Distribution patterns of over-represented k-mers in non-coding yeast DNASteven Hampson, Dennis Kibler, Pierre Baldi
Journal of Chemical Information and Modeling|June 26, 2013
Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like moleculesAlessandro Lusci, Gianluca Pollastri, Pierre Baldi
Bioinformatics (Oxford, England)|November 20, 2008
MotifMap: a human genome-wide map of candidate regulatory motif sitesXiaohui Xie, Paul Rigor, Pierre Baldi
Pageof 26