Michael J. Keiser

20 papers Journal 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
Autoparty: Machine Learning-Guided Visual Inspection of Molecular Docking Results.
J. Chem. Inf. Model.
Laura Shub, Magdalena Korczynska, Duncan F. Muir, Fang-Yu Lin, Brendan W. Hall, Alan M. Mathiowetz, Michael J. Keiser
2025 J jnl
ChromaFactor: Deconvolution of single-molecule chromatin organization with non-negative matrix factorization.
PLoS Comput. Biol.
Laura M. Gunsalus, Michael J. Keiser, Katherine S. Pollard
2025 J jnl
Fuzz Testing Molecular Representation Using Deep Variational Anomaly Generation.
J. Chem. Inf. Model.
Victor H. R. Nogueira, Rishabh Sharma, Rafael V. C. Guido, Michael J. Keiser
2024 J jnl
Autoregressive fragment-based diffusion for pocket-aware ligand design.
CoRR
Mahdi Ghorbani, Leo Gendelev, Paul Beroza, Michael J. Keiser
2024 J jnl
Proximity Graph Networks: Predicting Ligand Affinity with Message Passing Neural Networks.
J. Chem. Inf. Model.
Zachary J. Gale-Day, Laura Shub, Kangway V. Chuang, Michael J. Keiser
2024 J jnl
Retrieval Augmented Docking Using Hierarchical Navigable Small Worlds.
J. Chem. Inf. Model.
Brendan W. Hall, Michael J. Keiser
2023 J jnl
The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information.
Bioinform.
John H. Morris, Karthik Soman, Rabia E. Akbas, Xiaoyuan Zhou, Brett Smith, Elaine C. Meng, Conrad C. Huang, Gabriel Cerono, Gundolf Schenk, Angela Rizk-Jackson, Adil Harroud, Lauren M. Sanders, Sylvain V. Costes, Krish Bharat, Arjun Chakraborty, Alexander R. Pico, Taline Mardirossian, Michael J. Keiser, Alice Tang, Josef Hardi, Yongmei Shi, Mark A. Musen, Sharat Israni, Sui Huang, Peter W. Rose, Charlotte A. Nelson, Sergio E. Baranzini
2022 J jnl
A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology.
AI Mag.
Sergio E. Baranzini, Katy Börner, John H. Morris, Charlotte A. Nelson, Karthik Soman, Erica Schleimer, Michael J. Keiser, Mark A. Musen, Roger Pearce, Tahsin Reza, Brett Smith, Bruce William Herr II, Boris Oskotsky, Angela Rizk-Jackson, Katherine P. Rankin, Stephan J. Sanders, Riley Bove, Peter W. Rose, Sharat Israni, Sui Huang
2022 J jnl
A single-cell gene expression language model.
CoRR
William Connell, Umair Khan, Michael J. Keiser
2022 J jnl
Learning Melanocytic Cell Masks from Adjacent Stained Tissue.
CoRR
Mikio Tada, Maria L. Wei, Michael J. Keiser
2022 J jnl
Prioritizing Virtual Screening with Interpretable Interaction Fingerprints.
J. Chem. Inf. Model.
Alexandre V. Fassio, Laura Shub, Luca Ponzoni, Jessica McKinley, Matthew J. O'Meara, Rafaela Salgado Ferreira, Michael J. Keiser, Raquel Cardoso de Melo Minardi
2022 J jnl
Trans-channel fluorescence learning improves high-content screening for Alzheimer's disease therapeutics.
Nat. Mach. Intell.
Daniel R. Wong, Jay Conrad, Noah R. Johnson, Jacob Ayers, Annelies Laeremans, Joanne C. Lee, Jisoo Lee, Stanley B. Prusiner, Sourav Bandyopadhyay, Atul J. Butte, Nick A. Paras, Michael J. Keiser
2021 J jnl
Robust Semantic Interpretability: Revisiting Concept Activation Vectors.
CoRR
Jacob Pfau, Albert T. Young, Jerome Wei, Maria L. Wei, Michael J. Keiser
2021 J jnl
Stress testing reveals gaps in clinic readiness of image-based diagnostic artificial intelligence models.
npj Digit. Medicine
Albert T. Young, Kristen Fernandez, Jacob Pfau, Rasika Reddy, Nhat Anh Cao, Max Y. von Franque, Arjun Johal, Benjamin V. Wu, Rachel R. Wu, Jennifer Y. Chen, Raj P. Fadadu, Juan A. Vasquez, Andrew Tam, Michael J. Keiser, Maria L. Wei
2020 J jnl
Adding Stochastic Negative Examples into Machine Learning Improves Molecular Bioactivity Prediction.
J. Chem. Inf. Model.
Elena L. Cáceres, Nicholas C. Mew, Michael J. Keiser
2020 J jnl
Attention-Based Learning on Molecular Ensembles.
CoRR
Kangway V. Chuang, Michael J. Keiser
2019 J jnl
Global Saliency: Aggregating Saliency Maps to Assess Dataset Artefact Bias.
CoRR
Jacob Pfau, Albert T. Young, Maria L. Wei, Michael J. Keiser
2018 J jnl
Predicted Biological Activity of Purchasable Chemical Space.
J. Chem. Inf. Model.
John J. Irwin, Garrett Gaskins, Teague Sterling, Michael M. Mysinger, Michael J. Keiser
2009 J jnl
A Mapping of Drug Space from the Viewpoint of Small Molecule Metabolism.
PLoS Comput. Biol.
James Corey Adams, Michael J. Keiser, Li Basuino, Henry F. Chambers, Deok-Sun Lee, Olaf G. Wiest, Patricia C. Babbitt
2008 J jnl
Quantifying the Relationships among Drug Classes.
J. Chem. Inf. Model.
Jérôme Hert, Michael J. Keiser, John J. Irwin, Tudor I. Oprea, Brian K. Shoichet