| Genome-wide efficient mixed-model analysis for association studies X Zhou, M Stephens Nature genetics 44 (7), 821-824, 2012 | 3173 | 2012 |
| Polygenic modeling with Bayesian sparse linear mixed models X Zhou, P Carbonetto, M Stephens PLoS genetics 9 (2), e1003264, 2013 | 897 | 2013 |
| Efficient multivariate linear mixed model algorithms for genome-wide association studies X Zhou, M Stephens Nature methods 11 (4), 407-409, 2014 | 845 | 2014 |
| Statistical analysis of spatial expression patterns for spatially resolved transcriptomic studies S Sun, J Zhu, X Zhou Nature methods 17 (2), 193-200, 2020 | 342 | 2020 |
| Deletion of PIK3C3/Vps34 in sensory neurons causes rapid neurodegeneration by disrupting the endosomal but not the autophagic pathway X Zhou, L Wang, H Hasegawa, P Amin, BX Han, S Kaneko, Y He, F Wang Proceedings of the National Academy of Sciences 107 (20), 9424-9429, 2010 | 266 | 2010 |
| Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease W Zhou, M Kanai, KHH Wu, H Rasheed, K Tsuo, JB Hirbo, Y Wang, ... Cell Genomics 2 (10), 2022 | 264 | 2022 |
| Spatially informed cell-type deconvolution for spatial transcriptomics Y Ma, X Zhou Nature biotechnology 40 (9), 1349-1359, 2022 | 242 | 2022 |
| Regulation of mammalian autophagy by class II and III PI 3-kinases through PI3P synthesis K Devereaux, C Dall’Armi, A Alcazar-Roman, Y Ogasawara, X Zhou, ... PloS one 8 (10), e76405, 2013 | 216 | 2013 |
| 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 | 208 | 2019 |
| Deep-coverage whole genome sequences and blood lipids among 16,324 individuals P Natarajan, GM Peloso, SM Zekavat, M Montasser, A Ganna, M Chaffin, ... Nature communications 9 (1), 3391, 2018 | 174 | 2018 |
| Statistical methods for Mendelian randomization in genome-wide association studies: a review FJ Boehm, X Zhou Computational and structural biotechnology journal 20, 2338-2351, 2022 | 167 | 2022 |
| A note on Bayesian inference after multiple imputation X Zhou, JP Reiter The American Statistician 64 (2), 159-163, 2010 | 150 | 2010 |
| SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies J Zhu, S Sun, X Zhou Genome biology 22 (1), 184, 2021 | 144 | 2021 |
| Unc-51-like kinase 1/2-mediated endocytic processes regulate filopodia extension and branching of sensory axons X Zhou, JR Babu, S da Silva, Q Shu, IA Graef, T Oliver, T Tomoda, T Tani, ... Proceedings of the National Academy of Sciences 104 (14), 5842-5847, 2007 | 139 | 2007 |
| New modules are added to vibrissal premotor circuitry with the emergence of exploratory whisking J Takatoh, A Nelson, X Zhou, MML Bolton, MD Ehlers, BR Arenkiel, ... Neuron 77 (2), 346-360, 2013 | 136 | 2013 |
| A panel of induced pluripotent stem cells from chimpanzees: a resource for comparative functional genomics I Gallego Romero, BJ Pavlovic, I Hernando-Herraez, X Zhou, MC Ward, ... Elife 4, e07103, 2015 | 133 | 2015 |
| A unified framework for variance component estimation with summary statistics in genome-wide association studies X Zhou The annals of applied statistics 11 (4), 2027, 2017 | 129 | 2017 |
| Non-parametric genetic prediction of complex traits with latent Dirichlet process regression models P Zeng, X Zhou Nature communications 8 (1), 456, 2017 | 128 | 2017 |
| Identifying local and descending inputs for primary sensory neurons Y Zhang, S Zhao, E Rodriguez, J Takatoh, BX Han, X Zhou, F Wang The Journal of clinical investigation 125 (10), 3782-3794, 2015 | 128 | 2015 |
| VIPER: variability-preserving imputation for accurate gene expression recovery in single-cell RNA sequencing studies M Chen, X Zhou Genome biology 19 (1), 196, 2018 | 127 | 2018 |
Matthew StephensUniversity of ChicagoVerified email at uchicago.edu
