Rohit Bhattacharya

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Ilya ShpitserJohn C. Malone Associate Professor, Department of Computer Science, Johns Hopkins UniversityCorreu electrònic verificat a cs.jhu.edu
Collin TokheimAstraZenecaCorreu electrònic verificat a astrazeneca.com
Rachel KarchinProfessor of Biomedical Engineering, Oncology and Computer Science, Johns Hopkins UniversityCorreu electrònic verificat a jhu.edu
Razieh NabiRollins Assistant Professor of Biostatistics, Emory UniversityCorreu electrònic verificat a emory.edu
Victor VelculescuProfessor of Oncology, Johns Hopkins University School of MedicineCorreu electrònic verificat a jhmi.edu
Valsamo AnagnostouJohns Hopkins School of MedicineCorreu electrònic verificat a jhmi.edu
I.K. Ashok SivakumarJohns Hopkins UniversityCorreu electrònic verificat a jhu.edu
Daniel MalinskyAssistant Professor of Biostatistics at Columbia UniversityCorreu electrònic verificat a cumc.columbia.edu
Xiaoshan (Melody) ShaoJohns Hopkins UniversityCorreu electrònic verificat a jhmi.edu
David MasicaDirector of Convergence AI and Data Analytics (AbbVie)Correu electrònic verificat a abbvie.com
Noushin NiknafsResearch Associate, Johns Hopkins UniversityCorreu electrònic verificat a jhu.edu
James M. Robinsprofessor of epidemiology and biostatistics harvard school of public healthCorreu electrònic verificat a hsph.harvard.edu
Violeta Beleva GuthrieJohns Hopkins UniversityCorreu electrònic verificat a jhmi.edu
Tushar NagarajanFAIR, MetaCorreu electrònic verificat a utexas.edu
Katherine A. KeithAssistant Professor, Williams CollegeCorreu electrònic verificat a williams.edu
Tilak RatnanatherJohns Hopkins UniversityCorreu electrònic verificat a cis.jhu.edu

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Rohit Bhattacharya

Assistant Professor of Computer Science, Williams College

Correu electrònic verificat a williams.edu - Pàgina d'inici

Causality Graphical Models Oncogenomics


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Evolution of neoantigen landscape during immune checkpoint blockade in non–small cell lung cancer V Anagnostou, KN Smith, PM Forde, N Niknafs, R Bhattacharya, J White, ... Cancer discovery 7 (3), 264-276, 2017	902	2017
High grade serous ovarian carcinomas originate in the fallopian tube SI Labidi-Galy, E Papp, D Hallberg, N Niknafs, V Adleff, M Noe, ... Nature communications 8 (1), 1093, 2017	772	2017
Exome-Scale Discovery of Hotspot Mutation Regions in Human Cancer Using 3D Protein Structure C Tokheim, R Bhattacharya, N Niknafs, DM Gygax, R Kim, M Ryan, ... Cancer research 76 (13), 3719-3731, 2016	156	2016
High-Throughput Prediction of MHC Class I and II Neoantigens with MHCnuggets XM Shao, R Bhattacharya, J Huang, IK Sivakumar, C Tokheim, L Zheng, ... Cancer immunology research 8 (3), 396-408, 2020	144	2020
Differentiable causal discovery under unmeasured confounding R Bhattacharya, T Nagarajan, D Malinsky, I Shpitser International Conference on Artificial Intelligence and Statistics, 2314-2322, 2021	77	2021
Causal Inference Under Interference And Network Uncertainty R Bhattacharya, D Malinsky, I Shpitser Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence …, 2019	74	2019
Semiparametric inference for causal effects in graphical models with hidden variables R Bhattacharya, R Nabi, I Shpitser Journal of Machine Learning Research 23 (295), 1-76, 2022	70	2022
CRAVAT 4: cancer-related analysis of variants toolkit DL Masica, C Douville, C Tokheim, R Bhattacharya, RG Kim, K Moad, ... Cancer research 77 (21), e35-e38, 2017	67	2017
Full law identification in graphical models of missing data: Completeness results R Nabi, R Bhattacharya, I Shpitser International conference on machine learning, 7153-7163, 2020	62	2020
Identification In Missing Data Models Represented By Directed Acyclic Graphs R Bhattacharya, R Nabi, I Shpitser, JM Robins Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence …, 2019	51	2019
Evaluation of machine learning methods to predict peptide binding to MHC Class I proteins R Bhattacharya, A Sivakumar, C Tokheim, VB Guthrie, V Anagnostou, ... BioRxiv, 154757, 2017	41	2017
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods Genome biology 25 (1), 53, 2024	32	2024
Evolution of neoantigen landscape during immune checkpoint blockade in non-small cell lung cancer. Cancer Discov. 2017; 7 (3): 264–276. doi: 10.1158/2159-8290 V Anagnostou, KN Smith, PM Forde, N Niknafs, R Bhattacharya, J White, ... CD-16-0828, 0	31
Matching phenotypes to whole genomes: Lessons learned from four iterations of the personal genome project community challenges B Cai, B Li, N Kiga, J Thusberg, T Bergquist, YC Chen, N Niknafs, ... Human mutation 38 (9), 1266-1276, 2017	18	2017
Evolution of neoantigen landscape during immune checkpoint blockade in non-small cell lung cancer. Cancer Discov. 2017; 7: 264–76 V Anagnostou, KN Smith, PM Forde, N Niknafs, R Bhattacharya, J White, ...	16
An mHealth app (Speech Banana) for auditory training: app design and development study JT Ratnanather, R Bhattacharya, MB Heston, J Song, LR Fernandez, ... JMIR mHealth and uHealth 9 (3), e20890, 2021	13	2021
On Testability of the Front-Door Model via Verma Constraints R Bhattacharya, R Nabi Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence …, 2022	11	2022
Causal and counterfactual views of missing data models R Nabi, R Bhattacharya, I Shpitser, J Robins arXiv preprint arXiv:2210.05558, 2022	10	2022
Prediction of peptide binding to MHC Class I proteins in the age of deep learning R Bhattacharya, C Tokheim, A Sivakumar, VB Guthrie, V Anagnostou, ... BioRxiv, 154757, 2017	10	2017
On testability and goodness of fit tests in missing data models R Nabi, R Bhattacharya Uncertainty in Artificial Intelligence, 1467-1477, 2023	8	2023

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