Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science DR Unni, SAT Moxon, M Bada, M Brush, R Bruskiewich, JH Caufield, ... Clinical and translational science 15 (8), 1848-1855, 2022 | 45 | 2022 |
RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine EC Wood, AK Glen, LG Kvarfordt, F Womack, L Acevedo, TS Yoon, C Ma, ... BMC bioinformatics 23 (1), 400, 2022 | 26 | 2022 |
Progress toward a universal biomedical data translator K Fecho, AE Thessen, SE Baranzini, C Bizon, JJ Hadlock, S Huang, ... Clinical and Translational Science 15 (8), 1838-1847, 2022 | 19 | 2022 |
Student evaluation model using bayesian network in an intelligent e-learning system B Chakraborty, M Sinha Journal of Institute of Integrative Omics and Applied Biotechnology (IIOAB …, 2016 | 16 | 2016 |
Method and system for detection and analysis of cognitive flow D Chatterjee, A Sinha, M Sinha, SK Saha US Patent 10,722,164, 2020 | 10 | 2020 |
A Probabilistic Approach for Detection and Analysis of Cognitive Flow. D Chatterjee, A Sinha, M Sinha, SK Saha BMA@ UAI, 44-53, 2016 | 9 | 2016 |
Voting-based integration algorithm improves causal network learning from interventional and observational data: An application to cell signaling network inference M Sinha, P Tadepalli, SA Ramsey Plos one 16 (2), e0245776, 2021 | 6 | 2021 |
An approach for open multivariate analysis of integrated clinical and environmental exposures data K Fecho, P Haaland, A Krishnamurthy, B Lan, SA Ramsey, PL Schmitt, ... Informatics in medicine unlocked 26, 100733, 2021 | 6 | 2021 |
Using a General Prior Knowledge Graph to Improve Data-Driven Causal Network Learning M Sinha, SA Ramsey AAAI-MAKE 2021: Combining Machine Learning and Knowledge Engineering, 2021 | 6 | 2021 |
Open application of statistical and machine learning models to explore the impact of environmental exposures on health and disease: An asthma use case B Lan, P Haaland, A Krishnamurthy, DB Peden, PL Schmitt, P Sharma, ... International Journal of Environmental Research and Public Health 18 (21), 11398, 2021 | 4 | 2021 |
RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine. bioRxiv preprint biorxiv: 464747, October 2021. doi: 10.1101/2021.10 … EC Wood, AK Glen, LG Kvarfordt, F Womack, L Acevedo, TS Yoon, C Ma, ... URL https://doi. org/10.1101/2021.10 17, 2021 | 4 | 2021 |
ARAX: a graph-based modular reasoning tool for translational biomedicine AK Glen, C Ma, L Mendoza, F Womack, EC Wood, M Sinha, L Acevedo, ... Bioinformatics 39 (3), btad082, 2023 | 2 | 2023 |
Causal Structure Learning from Experiments and Observations M Sinha Oregon State University, 2019 | 2 | 2019 |
STUDENT EVALUATION MODEL USING BAYESIAN NETWORK IN AN INTELLIGENT E-LEARNING SYSTEM M Sinha National Institute of Technology, Durgapur, 2015 | 2 | 2015 |
Evaluating robustness of a generalized linear model when applied to electronic health record data accessed using an open API P Sharma, P Haaland, A Krishnamurthy, B Lan, PL Schmitt, M Sinha, H Xu, ... Health Informatics Journal 29 (2), 14604582231170892, 2023 | 1 | 2023 |
Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach AG Cavazos NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | | 2023 |
Drug Repositioning using Consilience of Knowledge Graph Completion Methods R Tu, M Sinha, C González, E Hu, S Dhuliawala, A McCallum, AI Su bioRxiv, 2023.05. 12.540594, 2023 | | 2023 |
Causal Analysis for Multivariate Integrated Clinical and Environmental Exposures Data M Sinha, P Haaland, A Krishnamurthy, B Lan, SA Ramsey, PL Schmitt, ... medRxiv, 2022.12. 20.22283734, 2022 | | 2022 |
Analytical Methods for Improving Causal Inference M Sinha | | 2021 |
Pooling vs Voting: An Empirical Study of Learning Causal Structures M Sinha, P Tadepalli, R SA AAAI Spring Symposium on Beyond Curve Fitting — Causation, Counterfactuals …, 2019 | | 2019 |