| Coexpression networks implicate human midfetal deep cortical projection neurons in the pathogenesis of autism AJ Willsey, SJ Sanders, M Li, S Dong, AT Tebbenkamp, RA Muhle, ... Cell 155 (5), 997-1007, 2013 | 995 | 2013 |
| Integrative functional genomic analysis of human brain development and neuropsychiatric risks M Li, G Santpere, Y Imamura Kawasawa, OV Evgrafov, FO Gulden, ... Science 362 (6420), eaat7615, 2018 | 684 | 2018 |
| Unsupervised clustering and epigenetic classification of single cells M Zamanighomi, Z Lin, T Daley, X Chen, Z Duren, A Schep, WJ Greenleaf, ... Nature communications 9 (1), 2410, 2018 | 111 | 2018 |
| Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics X Hu, J Zhao, Z Lin, Y Wang, H Peng, H Zhao, X Wan, C Yang Proceedings of the National Academy of Sciences 119 (28), e2106858119, 2022 | 61* | 2022 |
| RA3 is a reference-guided approach for epigenetic characterization of single cells S Chen, G Yan, W Zhang, J Li, R Jiang, Z Lin Nature communications 12 (1), 2177, 2021 | 55 | 2021 |
| Simultaneous dimension reduction and adjustment for confounding variation Z Lin, C Yang, Y Zhu, J Duchi, Y Fu, Y Wang, B Jiang, M Zamanighomi, ... Proceedings of the National Academy of Sciences 113, 2016 | 52 | 2016 |
| CRISPhieRmix: a hierarchical mixture model for CRISPR pooled screens TP Daley, Z Lin, X Lin, Y Liu, WH Wong, LS Qi Genome Biology 19, 1-13, 2018 | 46 | 2018 |
| On joint estimation of Gaussian graphical models for spatial and temporal data Z Lin, T Wang, C Yang, H Zhao Biometrics, 2017 | 41 | 2017 |
| Divergence in a master variator generates distinct phenotypes and transcriptional responses JEG Gallagher, W Zheng, X Rong, N Miranda, Z Lin, B Dunn, H Zhao, ... Genes & development 28 (4), 409-421, 2014 | 31 | 2014 |
| Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope X Wan, J Xiao, SST Tam, M Cai, R Sugimura, Y Wang, X Wan, Z Lin, ... Nature Communications 14 (1), 7848, 2023 | 29 | 2023 |
| An integrated chip for immunofluorescence and its application to analyze lysosomal storage disorders J Shen, Y Zhou, T Lu, J Peng, Z Lin, L Huang, Y Pang, L Yu, Y Huang Lab on a Chip 12 (2), 317-324, 2012 | 28 | 2012 |
| Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets J Zhao, G Wang, J Ming, Z Lin, Y Wang, AR Wu, C Yang Nature computational science 2 (5), 317-330, 2022 | 23 | 2022 |
| Coupled co-clustering-based unsupervised transfer learning for the integrative analysis of single-cell genomic data P Zeng, J Wangwu, Z Lin Briefings in bioinformatics 22 (4), bbaa347, 2021 | 20 | 2021 |
| Model-based approach to the joint analysis of single-cell data on chromatin accessibility and gene expression Z Lin, M Zamanighomi, T Daley, S Ma, WH Wong | 19 | 2020 |
| JSNMF enables effective and accurate integrative analysis of single-cell multiomics data Y Ma, Z Sun, P Zeng, W Zhang, Z Lin Briefings in Bioinformatics 23 (3), bbac105, 2022 | 18 | 2022 |
| Predicting transcription factor binding motifs from DNA-binding domains, chromatin accessibility and gene expression data M Zamanighomi, Z Lin, Y Wang, R Jiang, WH Wong Nucleic acids research 45 (10), 5666-5677, 2017 | 17 | 2017 |
| A markov random field-based approach to characterizing human brain development using spatial–temporal transcriptome data Z Lin, SJ Sanders, M Li, N Sestan, MW State, H Zhao The annals of applied statistics 9 (1), 429, 2015 | 16 | 2015 |
| FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets J Ming, Z Lin, J Zhao, X Wan, ... Briefings in bioinformatics 23 (5), bbac167, 2022 | 15 | 2022 |
| coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data P Zeng, Z Lin PLoS Computational Biology 17 (6), e1009064, 2021 | 15 | 2021 |
| Dimensionality reduction for single cell RNA sequencing data using constrained robust non-negative matrix factorization S Zhang, L Yang, J Yang, Z Lin, MK Ng NAR genomics and bioinformatics 2 (3), lqaa064, 2020 | 13 | 2020 |
