| Evaluating the Utilities of Foundation Models in Single-cell Data Analysis T Liu, K Li, Y Wang, H Li, H Zhao bioRxiv, 2023.09. 08.555192, 2023 | 11 | 2023 |
| ResPAN: a powerful batch correction model for scRNA-seq data through residual adversarial networks Y Wang, T Liu, H Zhao Bioinformatics 38 (16), 3942-3949, 2022 | 11 | 2022 |
| Non-linear archetypal analysis of single-cell RNA-seq data by deep autoencoders Y Wang, H Zhao PLoS computational biology 18 (4), e1010025, 2022 | 11 | 2022 |
| Benchmarking automated cell type annotation tools for single-cell ATAC-seq data Y Wang, X Sun, H Zhao Frontiers in Genetics 13, 1063233, 2022 | 4 | 2022 |
| MuSe-GNN: learning unified gene representation from multimodal biological graph data T Liu, Y Wang, R Ying, H Zhao Advances in neural information processing systems 36, 2024 | 3 | 2024 |
| scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profiles B Zhu, Y Wang, LT Ku, D van Dijk, L Zhang, DA Hafler, H Zhao Genome Biology 24 (1), 292, 2023 | 1 | 2023 |
| A Comprehensive Benchmarking Study on Computational Tools for Cross-omics Label Transfer from Single-cell RNA to ATAC Data Y Wang, H Zhao bioRxiv, 2024.02. 01.578507, 2024 | | 2024 |
| Gene regulatory network inference using single-cell multiome ATAC-seq and RNA-seq data Y Wang, K Chen, Z Cai, H Zhao American Society of Human Genetics, 2022 | | 2022 |
Hongyu ZhaoYale University在 yale.edu 的电子邮件经过验证
Hongyu ZhaoYale University在 yale.edu 的电子邮件经过验证
Tianyu LiuYale University在 yale.edu 的电子邮件经过验证