Rupam Bhattacharyya
Rupam Bhattacharyya
Post-doctoral Biostatistician, Michigan Center for Translational Pathology, Michigan Medicine
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Zitiert von
Zitiert von
Predictions, role of interventions and effects of a historic national lockdown in India’s response to the COVID-19 pandemic: data science call to arms
D Ray, M Salvatore, R Bhattacharyya, L Wang, J Du, S Mohammed, ...
Harvard data science review 2020 (Suppl 1), 2020
Comprehensive public health evaluation of lockdown as a non-pharmaceutical intervention on COVID-19 spread in India: national trends masking state-level variations
M Salvatore, D Basu, D Ray, M Kleinsasser, S Purkayastha, ...
BMJ open 10 (12), e041778, 2020
Lessons from SARS-CoV-2 in India: A data-driven framework for pandemic resilience
M Salvatore, S Purkayastha, L Ganapathi, R Bhattacharyya, R Kundu, ...
Science Advances 8 (24), eabp8621, 2022
A comparison of five epidemiological models for transmission of SARS-CoV-2 in India
S Purkayastha, R Bhattacharyya, R Bhaduri, R Kundu, X Gu, M Salvatore, ...
BMC Infectious Diseases 21 (533), 2021
Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimates
R Bhattacharyya, R Bhaduri, R Kundu, D Ray, L Beesley, M Salvatore, ...
Scientific Reports 11 (9748), 2021
Examining the Effect of COVID-19 on Foreign Exchange Rate and Stock Market - An Applied Insight into the Variable Effects of Lockdown on Indian Economy
I Banerjee, A Kumar, R Bhattacharyya
arXiv preprint arXiv:2006.14499, 2020
Personalized Network Modeling of the Pan-Cancer Patient and Cell Line Interactome
R Bhattacharyya, MJ Ha, Q Liu, R Akbani, H Liang, ...
JCO Clinical Cancer Informatics 4, 399-411, 2020
Dynamic Structural Impact of the COVID-19 Outbreak on the Stock Market and the Exchange Rate: A Cross-country Analysis Among BRICS Nations
R Bhattacharyya, S Rama, A Kumar, I Banerjee
arXiv preprint arXiv:2102.05554, 2021
Network-Based Matching of Patients and Targeted Therapies for Precision Oncology
Q Liu, MJ Ha, R Bhattacharyya, L Garmire, V Baladandayuthapani
Pacific Symposium on Biocomputing 25, 623-634, 2020
Network- based modeling of COVID-19 dynamics: early pandemic spread in India
R Bhattacharyya, S Banerjee, S Mohammed, V Baladandayuthapani
Journal of the Indian Statistical Association 59 (2), 1-43, 2021
Targeting PIKfyve-driven lipid homeostasis as a metabolic vulnerability in pancreatic cancer
C Cheng, J Hu, R Mannan, R Bhattacharyya, NJ Rossiter, B Magnuson, ...
bioRxiv, 2024
BaySyn: Bayesian Evidence Synthesis for Multi-system Multiomic Integration
R Bhattacharyya, N Henderson, V Baladandayuthapani
Pacific Symposium on Biocomputing 28, 275-286, 2023
Role of multiresolution vulnerability indices in COVID-19 spread in India: a Bayesian model-based analysis
R Bhattacharyya, A Burman, K Singh, S Banerjee, S Maity, A Auddy, ...
BMJ open 12 (11), e056292, 2022
Targeting lipid metabolism in pancreatic cancer
C Cheng, JP Wisniewski, A Korkaya, B Jackson, R Mannan, S Mahapatra, ...
Cancer Research 84 (6_Supplement), 2087-2087, 2024
Comparative impact assessment of COVID-19 policy interventions in five South Asian countries using reported and estimated unreported death counts during 2020-2021
R Kundu, J Datta, D Ray, S Mishra, R Bhattacharyya, L Zimmermann, ...
PLOS Global Public Health 3 (12), e0002063, 2023
Bayesian Models for Multi-omic Multi-system Integration for Precision Oncology
R Bhattacharyya
University of Michigan, Ann Arbor, 2023
Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data
R Bhattacharyya, N Henderson, V Baladandayuthapani
arXiv preprint arXiv:2212.14165, 2023
Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian et al.
D Ray, R Bhattacharyya, B Mukherjee
Statistics and Its Interface 14 (1), 25-28, 2020
JAMA Network Open Peer Reviewers in 2020
S Aaronson, N Abate, A Abbate, M Abdalla, M Abdel-Hamid, M Abdelnabi, ...
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