| Spatially informed cell-type deconvolution for spatial transcriptomics Y Ma, X Zhou Nature biotechnology 40 (9), 1349-1359, 2022 | 217 | 2022 |
| Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis S Sun, J Zhu, Y Ma, X Zhou Genome biology 20, 1-21, 2019 | 205 | 2019 |
| Genetic prediction of complex traits with polygenic scores: a statistical review Y Ma, X Zhou Trends in Genetics 37 (11), 995-1011, 2021 | 93 | 2021 |
| Cancer PRSweb: an online repository with polygenic risk scores for major cancer traits and their evaluation in two independent biobanks LG Fritsche, S Patil, LJ Beesley, P VandeHaar, M Salvatore, Y Ma, ... The American Journal of Human Genetics 107 (5), 815-836, 2020 | 83 | 2020 |
| Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies Y Ma, S Sun, X Shang, ET Keller, M Chen, X Zhou Nature communications 11 (1), 1585, 2020 | 72 | 2020 |
| On cross-ancestry cancer polygenic risk scores LG Fritsche, Y Ma, D Zhang, M Salvatore, S Lee, X Zhou, B Mukherjee PLoS genetics 17 (9), e1009670, 2021 | 48 | 2021 |
| Modeling zero inflation is not necessary for spatial transcriptomics P Zhao, J Zhu, Y Ma, X Zhou Genome Biology 23 (1), 118, 2022 | 36 | 2022 |
| ExPRSweb: An online repository with polygenic risk scores for common health-related exposures Y Ma, S Patil, X Zhou, B Mukherjee, LG Fritsche The American Journal of Human Genetics 109 (10), 1742-1760, 2022 | 16 | 2022 |
| Accurate and efficient integrative reference-informed spatial domain detection for spatial transcriptomics Y Ma, X Zhou Nature Methods, 1-14, 2024 | 2 | 2024 |
| BayeSMART: Bayesian Clustering of Multi-sample Spatially Resolved Transcriptomics Data Y Guo, B Zhu, C Tang, R Rong, Y Ma, G Xiao, L Xu, Q Li bioRxiv, 2024.08. 30.610571, 2024 | | 2024 |
| Statistical and Computational Methods for High-Dimensional Genomics Data Y Ma | | 2023 |
