| VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning J Kim, DE Greenberg, R Pifer, S Jiang, G Xiao, SA Shelburne, A Koh, ... PLoS computational biology 16 (1), e1007511, 2020 | 83 | 2020 |
| MB-GAN: microbiome simulation via generative adversarial network R Rong, S Jiang, L Xu, G Xiao, Y Xie, DJ Liu, Q Li, X Zhan GigaScience 10 (2), giab005, 2021 | 35 | 2021 |
| A Bayesian zero-inflated negative binomial regression model for the integrative analysis of microbiome data S Jiang, G Xiao, AY Koh, J Kim, Q Li, X Zhan Biostatistics 22 (3), 522-540, 2021 | 34 | 2021 |
| HARMONIES: a hybrid approach for microbiome networks inference via exploiting sparsity S Jiang, G Xiao, AY Koh, Y Chen, B Yao, Q Li, X Zhan Frontiers in Genetics 11, 445, 2020 | 27 | 2020 |
| A survey of statistical methods for microbiome data analysis KC Lutz, S Jiang, ML Neugent, NJ De Nisco, X Zhan, Q Li Frontiers in Applied Mathematics and Statistics 8, 884810, 2022 | 16 | 2022 |
| BayesSMILES: Bayesian segmentation modeling for longitudinal epidemiological studies S Jiang, Q Zhou, X Zhan, Q Li Journal of Data Science 19 (3 (2021)), 365–389, 2021 | 14 | 2021 |
| Bayesian modeling of microbiome data for differential abundance analysis Q Li, S Jiang, AY Koh, G Xiao, X Zhan arXiv preprint arXiv:1902.08741, 2019 | 11 | 2019 |
| Seqminer2: an efficient tool to query and retrieve genotypes for statistical genetics analyses from biobank scale sequence dataset L Yang, S Jiang, B Jiang, DJ Liu, X Zhan Bioinformatics 36 (19), 4951-4954, 2020 | 3 | 2020 |
| MetaPrism: A versatile toolkit for joint taxa/gene analysis of metagenomic sequencing data J Kim, S Jiang, Y Wang, G Xiao, Y Xie, DJ Liu, Q Li, A Koh, X Zhan G3 11 (4), jkab046, 2021 | 2 | 2021 |
| Serum Citrulline As a Biomarker for Blood Stream Infections in Pediatric Hematopoietic Stem Cell Transplant Patients S Singla, J Wong, S Jiang, S Hussain, L Coughlin, X Zhan, AY Koh Blood 134, 3268, 2019 | | 2019 |
