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Daniel Reker

Showing results (1-10 of 56) with videos related to

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Progress in the Chemistry of Organic Natural Products|October 18, 2019
Cheminformatic Analysis of Natural Product FragmentsDaniel Reker
Drug Discovery Today. Technologies|January 2, 2021
Practical considerations for active machine learning in drug discoveryDaniel Reker
Drug Discovery Today|December 16, 2014
Active-learning strategies in computer-assisted drug discoveryDaniel Reker, Gisbert Schneider
Beilstein Journal of Organic Chemistry|September 3, 2024
Finding the most potent compounds using active learning on molecular pairsZachary Fralish, Daniel Reker
Journal of Proteome Research|August 8, 2012
Bioinformatic challenges in targeted proteomicsDaniel Reker, Lars Malmström
Nature Computational Science|October 24, 2024
Taking a deep dive with active learning for drug discoveryZachary Fralish, Daniel Reker
Journal of Computer-Aided Molecular Design|December 4, 2019
Advanced Editorial to announce a JCAMD Special Issue on Artificial Intelligence and Machine LearningDaniel Reker, Richard A Lewis
Methods in Molecular Biology (Clifton, N.J.)|October 19, 2018
Selection of Informative Examples in Chemogenomic DatasetsDaniel Reker, J B Brown
Nature Chemistry|August 16, 2024
Machine learning trims the peptide drug design process to a sweet spotChloe E Markey, Daniel Reker
Computational Biology and Chemistry|October 19, 2010
Computation of mutual information from Hidden Markov ModelsDaniel Reker, Stefan Katzenbeisser, Kay Hamacher
Pageof 6

Showing results (1-10 of 56) with videos related to

Sort By:
Pageof 6
Progress in the Chemistry of Organic Natural Products|October 18, 2019
Cheminformatic Analysis of Natural Product FragmentsDaniel Reker
Drug Discovery Today. Technologies|January 2, 2021
Practical considerations for active machine learning in drug discoveryDaniel Reker
Drug Discovery Today|December 16, 2014
Active-learning strategies in computer-assisted drug discoveryDaniel Reker, Gisbert Schneider
Beilstein Journal of Organic Chemistry|September 3, 2024
Finding the most potent compounds using active learning on molecular pairsZachary Fralish, Daniel Reker
Journal of Proteome Research|August 8, 2012
Bioinformatic challenges in targeted proteomicsDaniel Reker, Lars Malmström
Nature Computational Science|October 24, 2024
Taking a deep dive with active learning for drug discoveryZachary Fralish, Daniel Reker
Journal of Computer-Aided Molecular Design|December 4, 2019
Advanced Editorial to announce a JCAMD Special Issue on Artificial Intelligence and Machine LearningDaniel Reker, Richard A Lewis
Methods in Molecular Biology (Clifton, N.J.)|October 19, 2018
Selection of Informative Examples in Chemogenomic DatasetsDaniel Reker, J B Brown
Nature Chemistry|August 16, 2024
Machine learning trims the peptide drug design process to a sweet spotChloe E Markey, Daniel Reker
Computational Biology and Chemistry|October 19, 2010
Computation of mutual information from Hidden Markov ModelsDaniel Reker, Stefan Katzenbeisser, Kay Hamacher
Pageof 6