TeraPCA: a fast and scalable software package to study genetic variation in tera-scale genotypes A Bose, V Kalantzis, EM Kontopoulou, M Elkady, P Paschou, P Drineas Bioinformatics 35 (19), 3679-3683, 2019 | 44 | 2019 |
Genetics of the peloponnesean populations and the theory of extinction of the medieval peloponnesean Greeks G Stamatoyannopoulos, A Bose, A Teodosiadis, F Tsetsos, A Plantinga, ... European Journal of Human Genetics 25 (5), 637-645, 2017 | 28 | 2017 |
Integrating linguistics, social structure, and geography to model genetic diversity within India A Bose, DE Platt, L Parida, P Drineas, P Paschou Molecular Biology and Evolution 38 (5), 1809-1819, 2021 | 15 | 2021 |
Towards quantum-enabled cell-centric therapeutics S Basu, J Born, A Bose, S Capponi, D Chalkia, TA Chan, H Doga, ... arXiv preprint arXiv:2307.05734, 2023 | 11 | 2023 |
How can quantum computing be applied in clinical trial design and optimization? H Doga, A Bose, ME Sahin, J Bettencourt-Silva, A Pham, E Kim, ... Trends in Pharmacological Sciences, 2024 | 7 | 2024 |
A Fast, provably accurate approximation algorithm for sparse principal component analysis reveals human genetic variation across the world A Chowdhury, A Bose, S Zhou, DP Woodruff, P Drineas International Conference on Research in Computational Molecular Biology, 86-106, 2022 | 6 | 2022 |
A quantitative model for human olfactory receptors SS Hassan, P Pal Choudhury, A Bose Nature Precedings, 1-1, 2012 | 6 | 2012 |
Clustrat: a structure informed clustering strategy for population stratification A Bose, MC Burch, A Chowdhury, P Paschou, P Drineas Research in Computational Molecular Biology: 24th Annual International …, 2020 | 5 | 2020 |
Dissecting population substructure in india via correlation optimization of genetics and geodemographics A Bose, DE Platt, L Parida, P Paschou, P Drineas bioRxiv, 164640, 2017 | 5 | 2017 |
FairPRS: adjusting for admixed populations in polygenic risk scores using invariant risk minimization DM Reyes, A Bose, E Karavani, L Parida Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 28, 198, 2023 | 4 | 2023 |
Impact of clinical and genomic factors on sars-cov2 disease severity S Dey, A Bose, P Chakraborty, M Ghalwash, AG Saenz, F Utro, K Ng, J Hu, ... medRxiv, 2021.03. 15.21253549, 2021 | 4 | 2021 |
AI-enabled evaluation of genome-wide association relevance and polygenic risk score prediction in Alzheimer's disease DE Platt, A Guzmán-Sáenz, A Bose, S Saha, F Utro, L Parida Iscience 27 (3), 2024 | 3 | 2024 |
Probing omics data via harmonic persistent homology D Gurnari, A Guzmán-Sáenz, F Utro, A Bose, S Basu, L Parida arXiv preprint arXiv:2311.06357, 2023 | 3 | 2023 |
CuNA: Cumulant-based Network Analysis of genotype-phenotype associations in Parkinson’s Disease A Bose, DE Platt, N Haiminen, L Parida medRxiv, 2021.08. 02.21261457, 2021 | 3 | 2021 |
Structure-informed clustering for population stratification in association studies A Bose, M Burch, A Chowdhury, P Paschou, P Drineas BMC bioinformatics 24 (1), 411, 2023 | 2 | 2023 |
Impact of clinical and genomic factors on covid-19 disease severity S Dey, A Bose, S Saha, P Chakraborty, M Ghalwash, A Guzm, F Utro, ... AMIA Annual Symposium Proceedings 2021, 378, 2022 | 2 | 2022 |
RubricOE: a learning framework for genetic epidemiology S Saha, A Guzmán-Sáenz, A Bose, F Utro, DE Platt, L Parida medRxiv, 2021.03. 09.21253105, 2021 | 2 | 2021 |
Towards Quantum Tensor Decomposition in Biomedical Applications M Burch, J Zhang, G Idumah, H Doga, R Lartey, L Yehia, M Yang, ... arXiv preprint arXiv:2502.13140, 2025 | 1 | 2025 |
Matrix sketching framework for linear mixed models in association studies M Burch, A Bose, G Dexter, L Parida, P Drineas Genome Research 34 (9), 1304-1311, 2024 | 1 | 2024 |
A perspective on quantum computing for analyzing cell-cell communication networks F Utro, A Bose, R Wang, V Dubovitskii, L Parida Conference on Intelligent Systems for Molecular Biology, 2024 | 1 | 2024 |