A Probabilistic Approach for Detection and Analysis of Cognitive Flow. - Debatri Chatterjee; Aniruddha Sinha; Meghamala Sinha; Sanjoy Kumar Saha 001 (BMA@UAI, 2016)

Using a General Prior Knowledge Graph to Improve Data-Driven Causal Network Learning. - Meghamala Sinha; Stephen A. Ramsey (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine. - E. C. Wood; Amy Glen; Lindsey G. Kvarfordt; Finn Womack; Liliana Acevedo; Timothy S. Yoon; Chunyu Ma; Veronica Flores; Meghamala Sinha; Yodsawalai Chodpathumwan; Arash Termehchy; Jared C. Roach; et al. (BMC Bioinform., 2022)

ARAX: a graph-based modular reasoning tool for translational biomedicine. - Amy Glen; Chunyu Ma; Luis Mendoza; Finn Womack; E. C. Wood; Meghamala Sinha; Liliana Acevedo; Lindsey G. Kvarfordt; Ross C. Peene; Shaopeng Liu; Andrew S. Hoffman; Jared C. Roach; et al. (Bioinform., 2023)

Evaluating robustness of a generalized linear model when applied to electronic health record data accessed using an Open API. - Priya Sharma; Perry Haaland; Ashok K. Krishnamurthy 001; Bo Lan; Patrick L. Schmitt; Meghamala Sinha; Hao Xu 006; Karamarie Fecho (Health Informatics J., 2023)

Causal analysis for multivariate integrated clinical and environmental exposures data. - Meghamala Sinha; Perry Haaland; Ashok K. Krishnamurthy 001; Bo Lan; Stephen A. Ramsey; Patrick L. Schmitt; Priya Sharma; Hao Xu 006; Karamarie Fecho (BMC Medical Informatics Decis. Mak., 2025)

Correction: Causal analysis for multivariate integrated clinical and environmental exposures data. - Meghamala Sinha; Perry Haaland; Ashok K. Krishnamurthy 001; Bo Lan; Stephen A. Ramsey; Patrick L. Schmitt; Priya Sharma; Hao Xu 006; Karamarie Fecho (BMC Medical Informatics Decis. Mak., 2025)