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Methods in Molecular Biology (Clifton, N.J.)|October 19, 2018
Selection of Informative Examples in Chemogenomic DatasetsDaniel Reker, J B BrownFuture Medicinal Chemistry|March 7, 2017
Active learning for computational chemogenomicsDaniel Reker, Petra Schneider, Gisbert Schneider, et al.Progress in the Chemistry of Organic Natural Products|October 18, 2019
Cheminformatic Analysis of Natural Product FragmentsDaniel RekerDrug Discovery Today. Technologies|January 2, 2021
Practical considerations for active machine learning in drug discoveryDaniel RekerDrug Discovery Today|December 16, 2014
Active-learning strategies in computer-assisted drug discoveryDaniel Reker, Gisbert SchneiderBeilstein Journal of Organic Chemistry|September 3, 2024
Finding the most potent compounds using active learning on molecular pairsZachary Fralish, Daniel RekerJournal of Proteome Research|August 8, 2012
Bioinformatic challenges in targeted proteomicsDaniel Reker, Lars MalmströmComputational Biology and Chemistry|October 19, 2010
Computation of mutual information from Hidden Markov ModelsDaniel Reker, Stefan Katzenbeisser, Kay HamacherRSC Medicinal Chemistry|July 19, 2024
Leveraging bounded datapoints to classify molecular potency improvementsZachary Fralish, Paul Skaluba, Daniel RekerProceedings of the National Academy of Sciences of the United States of America|March 5, 2014
Identifying the macromolecular targets of de novo-designed chemical entities through self-organizing map consensusDaniel Reker, Tiago Rodrigues, Petra Schneider, et al.Pageof 28