| Sequencing and beyond: integrating molecular'omics' for microbial community profiling EA Franzosa, T Hsu, A Sirota-Madi, A Shafquat, G Abu-Ali, XC Morgan, ... Nature Reviews Microbiology 13 (6), 360-372, 2015 | 700 | 2015 |
| Functional and phylogenetic assembly of microbial communities in the human microbiome A Shafquat, R Joice, SL Simmons, C Huttenhower Trends in microbiology 22 (5), 261-266, 2014 | 253 | 2014 |
| Urban transit system microbial communities differ by surface type and interaction with humans and the environment T Hsu, R Joice, J Vallarino, G Abu-Ali, EM Hartmann, A Shafquat, ... Msystems 1 (3), 10.1128/msystems. 00018-16, 2016 | 108 | 2016 |
| Determining Microbial Products and Identifying Molecular Targets in the Human Microbiome R Joice, K Yasuda, A Shafquat, XC Morgan, C Huttenhower Cell Metabolism 20 (5), 731-741, 2014 | 107 | 2014 |
| Discovery of bioactive microbial gene products in inflammatory bowel disease Y Zhang, A Bhosle, S Bae, LJ McIver, G Pishchany, EK Accorsi, ... Nature 606 (7915), 754-760, 2022 | 45 | 2022 |
| XX Disorder of Sex Development is associated with an insertion on chromosome 9 and downregulation of RSPO1 in dogs (Canis lupus familiaris) VN Meyers-Wallen, AR Boyko, CG Danko, JK Grenier, JG Mezey, ... PLoS One 12 (10), e0186331, 2017 | 17 | 2017 |
| Urban transit system microbial communities differ by surface type and interaction with humans and the environment. mSystems 1 T Hsu, R Joice, J Vallarino, G Abu-Ali, EM Hartmann, A Shafquat, ... Urban Transit System Microbial Communities Differ by Surface Type and …, 2016 | 17 | 2016 |
| A reproducible approach to high-throughput biological data acquisition and integration D Börnigen, YS Moon, G Rahnavard, L Waldron, L McIver, A Shafquat, ... PeerJ 3, e791, 2015 | 10 | 2015 |
| Identifying novel associations in GWAS by hierarchical Bayesian latent variable detection of differentially misclassified phenotypes A Shafquat, RG Crystal, JG Mezey BMC bioinformatics 21, 1-25, 2020 | 9 | 2020 |
| Role of KRAS in regulating normal human airway basal cell differentiation F Ogawa, MS Walters, A Shafquat, SL O’Beirne, RJ Kaner, JG Mezey, ... Respiratory Research 20, 1-16, 2019 | 6 | 2019 |
| Simulants: Synthetic clinical trial data via subject-level privacy-preserving synthesis M Beigi, A Shafquat, J Mezey, J Aptekar AMIA Annual Symposium Proceedings 2022, 231, 2022 | 5 | 2022 |
| A source data privacy framework for synthetic clinical trial data A Shafquat, J Mezey, M Beigi, J Sun, JW Aptekar NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | 4 | 2022 |
| Synthetic Clinical Trial Data while Preserving Subject-Level Privacy M Beigi, A Shafquat, J Mezey, JW Aptekar NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | 4 | 2022 |
| An interpretable data augmentation framework for improving generative modeling of synthetic clinical trial data A Shafquat, J Mezey, M Beigi, J Sun, A Gao, JW Aptekar ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 | 1 | 2023 |
| HawkesVAE: Sequential Patient Event Synthesis for Clinical Trials C Gao, M Beigi, A Shafquat, J Sun | | 2023 |
| System and method for generating a synthetic dataset from an original dataset M Beigi, J Aptekar, A Shafquat, J Mezey US Patent 11,640,446, 2023 | | 2023 |
| PP01. 78 Brain Metastasis in Patients With KRAS Mutant Advanced NSCLC Receiving Docetaxel: Pooled Clinical Trial Data Analysis J Aptekar, R Jain, B Korytowsky, A Shafquat, J Hendershot, A Talwai, ... Journal of Thoracic Oncology 18 (3), e43-e44, 2023 | | 2023 |
| Improving GWAS phenotypes through Bayesian and machine learning approaches A Shafquat Cornell University, 2020 | | 2020 |
