| 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 | 38 | 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 | 24 | 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 | 8 | 2021 |
| 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 |
| 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 |
| 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 | 3 | 2022 |
| FairPRS: adjusting for admixed populations in polygenic risk scores using invariant risk minimization DM Reyes, A Bose, E Karavani, L Parida | 3 | 2022 |
| 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 |
| 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 |
| Epidemiological topology data analysis links severe COVID-19 to RAAS and hyperlipidemia associated metabolic syndrome conditions D Platt, A Bose, C Levovitz, K Rhrissorrakrai, L Parida medRxiv, 2022.03. 31.22273239, 2022 | 1 | 2022 |
| 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 | | 2023 |
| 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 | | 2023 |
| 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 | | 2023 |
| Identifying therapeutic biomarkers associated with complex diseases A Bose, DE Platt, N Haiminen, L Parida US Patent App. 17/453,221, 2023 | | 2023 |
| MaSk-LMM: A Matrix Sketching Framework for Linear Mixed Models in Association Studies MC Burch, A Bose, G Dexter, L Parida, P Drineas medRxiv, 2023.11. 13.23298469, 2023 | | 2023 |
| Role of genetics in capturing racial disparities in cardiovascular disease A Bose, DE Platt, U Kartoun, K Ng, L Parida medRxiv, 2023.02. 10.23285769, 2023 | | 2023 |
| FairPRS: a fairness framework for Polygenic Risk Scores DM Reyes, A Bose, E Karavani, L Parida | | 2022 |
| Race versus Genetics in clinical decision-making: a perspective from cardiovascular disease D Platt, A Bose, K Ng, L Parida Conference on Intelligent Systems for Molecular Biology, 2022 | | 2022 |
Laxmi ParidaIBM Research在 us.ibm.com 的电子邮件经过验证
