| 3d bone microarchitecture modeling and fracture risk prediction H Li, X Li, L Bone, C Buyea, M Ramanathan, A Zhang Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012 | 8 | 2012 |
| A computational model for lesion dynamics in multiple sclerosis of the brain TRK Mohan, S Sen, M Ramanathan International Journal of Modern Physics E 17 (05), 930-939, 2008 | 13 | 2008 |
| A Computational Model for Lesion Dynamics in Multiple Sclerosis of the Brain S Sen, M Ramanathan | | |
| A Computational Model of Mitigating Disease Spread in Spatial Networks T Kim, K Li, A Zhang, S Sen, M Ramanathan International Journal of Artificial Life Research (IJALR) 2 (2), 77-94, 2011 | 2 | 2011 |
| A dispersion model for cellular signal transduction cascades M Ramanathan Pharmaceutical research 19, 1544-1548, 2002 | 9 | 2002 |
| A generative framework for prediction and informative risk factor selection of bone diseases H Li, X Li, Y Zhang, M Ramanathan, A Zhang 2013 IEEE International Conference on Bioinformatics and Biomedicine, 554-559, 2013 | 5 | 2013 |
| A graph-based approach for computational model of bone microstructure T Kim, M Ramanathan, A Zhang Proceedings of the First ACM International Conference on Bioinformatics and …, 2010 | 9 | 2010 |
| A hybrid Markov chain–von Mises density model for the drug-dosing interval and drug holiday distributions K Fellows, V Rodriguez-Cruz, J Covelli, A Droopad, S Alexander, ... The AAPS Journal 17, 427-437, 2015 | 10 | 2015 |
| A maximum entropy approach to classifying gene array data sets S Jiang, C Tang, L Zhang, A Zhang, M Ramanathan Proc. of Workshop on Data mining for genomics, First SIAM International …, 2001 | 14 | 2001 |
| A method for estimating pharmacokinetic risks of concentration-dependent drug interactions from preclinical data M Ramanathan Drug Metabolism and disposition 27 (12), 1479-1487, 1999 | 15 | 1999 |
| A multimodal approach to assess the validity of atrophied T2-lesion volume as an MRI marker of disease progression in multiple sclerosis E Tavazzi, N Bergsland, J Kuhle, D Jakimovski, M Ramanathan, ... Journal of neurology 267, 802-811, 2020 | 13 | 2020 |
| A network modeling approach for the spatial distribution and structure of bone mineral content H Li, A Zhang, L Bone, C Buyea, M Ramanathan The AAPS journal 16, 478-487, 2014 | 3 | 2014 |
| A novel functional module detection algorithm for protein-protein interaction networks W Hwang, YR Cho, A Zhang, M Ramanathan Algorithms for Molecular Biology 1, 1-11, 2006 | 114 | 2006 |
| A Paleolithic Diet-Based Intervention Decreases Multiple Sclerosis Fatigue via Lipid Profile Changes (P2. 358) M Ramanathan, K Fellows, T Wahls, R Browne, B Bisht, L Snetselaar, ... Neurology 90 (15 Supplement), 2018 | 2 | 2018 |
| A pharmacokinetic approach for evaluating cytokine binding macromolecules as antagonists M Ramanathan Pharmaceutical research 13, 84-90, 1996 | 8 | 1996 |
| A physicochemical modelling approach for estimating the stability of soluble receptor-bound tumour necrosis factor-alpha M Ramanathan Cytokine 9 (1), 19-26, 1997 | 8 | 1997 |
| A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge YR Cho, L Shi, M Ramanathan, A Zhang BMC bioinformatics 9, 1-15, 2008 | 18 | 2008 |
| A rapid spectrofluorimetric technique for determining drug-serum protein binding suitable for high-throughput screening HH Parikh, K McElwain, V Balasubramanian, W Leung, D Wong, ... Pharmaceutical research 17, 632-637, 2000 | 99 | 2000 |
| A semi-supervised learning approach to integrated salient risk features for bone diseases H Li, X Li, M Ramanathan, A Zhang Proceedings of the International Conference on Bioinformatics, Computational …, 2013 | 3 | 2013 |
| A stochastic model for optimizing composite predictors based on gene expression profiles M Ramanathan Pharmaceutical research 20, 996-1000, 2003 | 4 | 2003 |
