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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 BaldiProteins|November 11, 2011
SIDEpro: a novel machine learning approach for the fast and accurate prediction of side-chain conformationsKen Nagata, Arlo Randall, Pierre BaldiBioinformatics (Oxford, England)|May 23, 2002
Distribution patterns of over-represented k-mers in non-coding yeast DNASteven Hampson, Dennis Kibler, Pierre BaldiJournal 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 BaldiBioinformatics (Oxford, England)|November 20, 2008
MotifMap: a human genome-wide map of candidate regulatory motif sitesXiaohui Xie, Paul Rigor, Pierre BaldiJournal of Chemical Information and Modeling|January 11, 2018
Inner and Outer Recursive Neural Networks for Chemoinformatics ApplicationsGregor Urban, Niranjan Subrahmanya, Pierre BaldiArtificial Intelligence|May 8, 2018
Learning in the Machine: Random Backpropagation and the Deep Learning ChannelPierre Baldi, Peter Sadowski, Zhiqin LuPlos One|July 30, 2013
i3Drefine software for protein 3D structure refinement and its assessment in CASP10Debswapna Bhattacharya, Jianlin ChengBioinformatics (Oxford, England)|January 2, 2016
MOGEN: a tool for reconstructing 3D models of genomes from chromosomal conformation capturing dataTuan Trieu, Jianlin ChengScientific Reports|April 5, 2016
Protein single-model quality assessment by feature-based probability density functionsRenzhi Cao, Jianlin ChengPageof 54