Igor V. Tetko - Related publications

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16 most relevant papers in past 60 days:
Year Citation  Score
2022 Hsu C, Nisonoff H, Fannjiang C, Listgarten J. Learning protein fitness models from evolutionary and assay-labeled data. Nature Biotechnology. PMID 35039677 DOI: 10.1038/s41587-021-01146-5   
2022 Gonçalves FB, Dutra LM, Silva RWC. Exact and computationally efficient Bayesian inference for generalized Markov modulated Poisson processes. Statistics and Computing. 32: 14. PMID 35013655 DOI: 10.1007/s11222-021-10074-y   
2022 Abu Lekham L, Wang Y, Hey E, Khasawneh MT. Multi-criteria text mining model for COVID-19 testing reasons and symptoms and temporal predictive model for COVID-19 test results in rural communities. Neural Computing & Applications. 1-14. PMID 35013649 DOI: 10.1007/s00521-021-06884-w   
2022 Brookes DH, Aghazadeh A, Listgarten J. On the sparsity of fitness functions and implications for learning. Proceedings of the National Academy of Sciences of the United States of America. 119. PMID 34937698 DOI: 10.1073/pnas.2109649118   
2022 Huang J, Shlobin NA, DeCuypere M, Lam SK. Deep Learning for Outcome Prediction in Neurosurgery: A Systematic Review of Design, Reporting, and Reproducibility. Neurosurgery. 90: 16-38. PMID 34982868 DOI: 10.1227/NEU.0000000000001736   
2022 Kwon Y, Lee D, Choi YS, Kang S. Uncertainty-aware prediction of chemical reaction yields with graph neural networks. Journal of Cheminformatics. 14: 2. PMID 35012654 DOI: 10.1186/s13321-021-00579-z   
2022 Yadav MK, Ahmad S, Raza K, Kumar S, Eswaran M, Pasha Km M. Predictive modeling and therapeutic repurposing of natural compounds against the receptor-binding domain of SARS-CoV-2. Journal of Biomolecular Structure & Dynamics. 1-13. PMID 34974820 DOI: 10.1080/07391102.2021.2021993   
2022 Mo L, Yu H, Hua W. Pruning Growing Self-Organizing Map Network for Human Physical Activity Identification. Journal of Healthcare Engineering. 2022: 9972406. PMID 35028128 DOI: 10.1155/2022/9972406   
2022 Teşileanu T, Golkar S, Nasiri S, Sengupta AM, Chklovskii DB. Neural Circuits for Dynamics-Based Segmentation of Time Series. Neural Computation. 1-49. PMID 35026035 DOI: 10.1162/neco_a_01476   
2022 Chung Y, Vermeire FH, Wu H, Walker PJ, Abraham MH, Green WH. Group Contribution and Machine Learning Approaches to Predict Abraham Solute Parameters, Solvation Free Energy, and Solvation Enthalpy. Journal of Chemical Information and Modeling. PMID 35044781 DOI: 10.1021/acs.jcim.1c01103   
2022 Sim M, Kim SY, Suh Y. Sample Size Requirements for Simple and Complex Mediation Models. Educational and Psychological Measurement. 82: 76-106. PMID 34992307 DOI: 10.1177/00131644211003261   
2022 Baek KT, Kepp KP. Data set and fitting dependencies when estimating protein mutant stability: Toward simple, balanced, and interpretable models. Journal of Computational Chemistry. PMID 35040492 DOI: 10.1002/jcc.26810   
2022 Tang M, Gao L, He B, Yang Y. Machine Learning-Based Prognostic Prediction Models of Non-Metastatic Colon Cancer: Analyses Based on Surveillance, Epidemiology and End Results Database and a Chinese Cohort. Cancer Management and Research. 14: 25-35. PMID 35018119 DOI: 10.2147/CMAR.S340739   
2022 Saini V, Sharma A, Nivatia D. A machine learning approach for predicting the nucleophilicity of organic molecules. Physical Chemistry Chemical Physics : Pccp. PMID 34986215 DOI: 10.1039/d1cp05072a   
2022 Labiak R, Lavor C, Souza M. Distance geometry and protein loop modeling. Journal of Computational Chemistry. 43: 349-358. PMID 34904248 DOI: 10.1002/jcc.26796   
2022 Karanth S, Tanui CK, Meng J, Pradhan AK. Exploring the predictive capability of advanced machine learning in identifying severe disease phenotype in Salmonella enterica. Food Research International (Ottawa, Ont.). 151: 110817. PMID 34980422 DOI: 10.1016/j.foodres.2021.110817