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Michael J. Keiser
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2020 – today
- 2024
- [j11]Zachary J. Gale-Day
, Laura Shub
Proximity Graph Networks: Predicting Ligand Affinity with Message Passing Neural Networks. J. Chem. Inf. Model. 64(14): 5439-5450 (2024) - [j10]Brendan W. Hall, Michael J. Keiser
Retrieval Augmented Docking Using Hierarchical Navigable Small Worlds. J. Chem. Inf. Model. 64(19): 7398-7408 (2024) - [i6]Mahdi Ghorbani, Leo Gendelev, Paul Beroza, Michael J. Keiser:
Autoregressive fragment-based diffusion for pocket-aware ligand design. CoRR abs/2401.05370 (2024) - 2023
- [j9]John H. Morris, Karthik Soman
The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information. Bioinform. 39(2) (2023) - 2022
- [j8]Sergio E. Baranzini
A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology. AI Mag. 43(1): 46-58 (2022) - [j7]Alexandre V. Fassio
Prioritizing Virtual Screening with Interpretable Interaction Fingerprints. J. Chem. Inf. Model. 62(18): 4300-4318 (2022) - [j6]Daniel R. Wong
Trans-channel fluorescence learning improves high-content screening for Alzheimer's disease therapeutics. Nat. Mach. Intell. 4(6): 583-595 (2022) - [i5]William Connell, Umair Khan, Michael J. Keiser
A single-cell gene expression language model. CoRR abs/2210.14330 (2022) - [i4]Mikio Tada, Maria L. Wei, Michael J. Keiser:
Learning Melanocytic Cell Masks from Adjacent Stained Tissue. CoRR abs/2211.00646 (2022) - 2021
- [j5]Albert T. Young
Stress testing reveals gaps in clinic readiness of image-based diagnostic artificial intelligence models. npj Digit. Medicine 4 (2021) - [i3]Jacob Pfau, Albert T. Young, Jerome Wei, Maria L. Wei, Michael J. Keiser:
Robust Semantic Interpretability: Revisiting Concept Activation Vectors. CoRR abs/2104.02768 (2021) - 2020
- [j4]Elena L. Cáceres
Adding Stochastic Negative Examples into Machine Learning Improves Molecular Bioactivity Prediction. J. Chem. Inf. Model. 60(12): 5957-5970 (2020) - [i2]Kangway V. Chuang, Michael J. Keiser:
Attention-Based Learning on Molecular Ensembles. CoRR abs/2011.12820 (2020)
2010 – 2019
- 2019
- [i1]Jacob Pfau, Albert T. Young, Maria L. Wei, Michael J. Keiser
Global Saliency: Aggregating Saliency Maps to Assess Dataset Artefact Bias. CoRR abs/1910.07604 (2019) - 2018
- [j3]John J. Irwin
Predicted Biological Activity of Purchasable Chemical Space. J. Chem. Inf. Model. 58(1): 148-164 (2018)
2000 – 2009
- 2009
- [j2]James Corey Adams, Michael J. Keiser
A Mapping of Drug Space from the Viewpoint of Small Molecule Metabolism. PLoS Comput. Biol. 5(8) (2009) - 2008
- [j1]Jérôme Hert
Quantifying the Relationships among Drug Classes. J. Chem. Inf. Model. 48(4): 755-765 (2008)
Coauthor Index
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