Articles with public access mandates - Sivaraman RajaganapathyLearn more
Not available anywhere: 1
Learning Physician’s Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning
K Bhattarai, S Rajaganapathy, T Das, Y Kim, Y Chen, Q Dai, X Li, X Jiang, ...
2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023
Mandates: US National Institutes of Health
Available somewhere: 6
Distinct mechanical properties in homologous spectrin-like repeats of utrophin
S Rajaganapathy, JL McCourt, S Ghosal, A Lindsay, PM McCourt, ...
Scientific reports 9 (1), 5210, 2019
Mandates: US National Science Foundation, US National Institutes of Health
Artificial Intelligence-based Efficacy Prediction of Phase 3 Clinical Trial for Repurposing Heart Failure Therapies
N Zong, S Chowdhury, S Zhou, S Rajaganapathy, L Wang, Q Dai, ...
medRxiv, 2023
Mandates: US National Institutes of Health
Phosphorylation alters the mechanical stiffness of a model fragment of the dystrophin homologue utrophin
MP Ramirez, S Rajaganapathy, AR Hagerty, C Hua, GC Baxter, J Vavra, ...
Journal of Biological Chemistry 299 (2), 2023
Mandates: US National Institutes of Health
Change detection using an iterative algorithm with guarantees
S Rajaganapathy, J Melbourne, MV Salapaka
Automatica 136, 110075, 2022
Mandates: US National Science Foundation
Leveraging multi-source to resolve inconsistency across pharmacogenomic datasets in drug sensitivity prediction
T Das, K Bhattarai, S Rajaganapathy, L Wang, JR Cerhan, N Zong
medRxiv, 2023
Mandates: US National Institutes of Health
Learning and estimation of single molecule behavior
S Rajaganapathy, J Melbourne, T Aggarwal, R Shrivastava, MV Salapaka
2018 Annual American Control Conference (ACC), 5125-5130, 2018
Mandates: US National Science Foundation
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