| Large-scale foundation model on single-cell transcriptomics M Hao, J Gong, X Zeng, C Liu, Y Guo, X Cheng, T Wang, J Ma, X Zhang, ... Nature Methods, 1-11, 2024 | 156 | 2024 |
| SOMDE: a scalable method for identifying spatially variable genes with self-organizing map M Hao, K Hua, X Zhang Bioinformatics 37 (23), 4392-4398, 2021 | 67 | 2021 |
| hECA: the cell-centric assembly of a cell atlas S Chen, Y Luo, H Gao, F Li, Y Chen, J Li, R You, M Hao, H Bian, X Xi, ... Iscience 25 (5), 2022 | 30 | 2022 |
| Decoding functional cell–cell communication events by multi-view graph learning on spatial transcriptomics H Li, T Ma, M Hao, W Guo, J Gu, X Zhang, L Wei Briefings in Bioinformatics 24 (6), bbad359, 2023 | 28 | 2023 |
| xTrimoGene: an efficient and scalable representation learner for single-cell RNA-seq data J Gong, M Hao, X Cheng, X Zeng, C Liu, J Ma, X Zhang, T Wang, L Song Advances in Neural Information Processing Systems 36, 2024 | 23 | 2024 |
| scMulan: a multitask generative pre-trained language model for single-cell analysis H Bian, Y Chen, X Dong, C Li, M Hao, S Chen, J Hu, M Sun, L Wei, ... International Conference on Research in Computational Molecular Biology, 479-482, 2024 | 9 | 2024 |
| STEM enables mapping of single-cell and spatial transcriptomics data with transfer learning M Hao, E Luo, Y Chen, Y Wu, C Li, S Chen, H Gao, H Bian, J Gu, L Wei, ... Communications Biology 7 (1), 56, 2024 | 9 | 2024 |
| Large scale foundation model on single-cell transcriptomics. bioRxiv M Hao, J Gong, X Zeng, C Liu, Y Guo, X Cheng, T Wang, J Ma, L Song, ... | 8 | 2023 |
| MMA-RNN: A multi-level multi-task attention-based recurrent neural network for discrimination and localization of atrial fibrillation Y Sun, J Shen, Y Jiang, Z Huang, M Hao, X Zhang Biomedical Signal Processing and Control 89, 105747, 2024 | 6 | 2024 |
| scDiffusion: conditional generation of high-quality single-cell data using diffusion model E Luo, M Hao, L Wei, X Zhang arXiv preprint arXiv:2401.03968, 2024 | 6 | 2024 |
| Current opinions on large cellular models. M Hao, L Wei, F Yang, J Yao, CV Theodoris, B Wang, X Li, G Yang, ... Quantitative Biology 12 (4), 2024 | 3 | 2024 |
| General-purpose pre-trained large cellular models for single-cell transcriptomics H Bian, Y Chen, E Luo, X Wu, M Hao, L Wei, X Zhang National Science Review 11 (11), nwae340, 2024 | 3 | 2024 |
| STEM: A method for mapping single-cell and spatial transcriptomics data with transfer learning M Hao, E Luo, Y Chen, Y Wu, C Li, S Chen, H Gao, H Bian, L Wei, ... bioRxiv, 2022.09. 23.509186, 2022 | 2* | 2022 |
| Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECA Y Chen, M Hao, H Gao, J Li, S Chen, F Li, L Wei, X Zhang STAR protocols 3 (3), 101589, 2022 | 2 | 2022 |
| scDirect: key transcription factor identification for directing cell state transitions based on single-cell multi-omics data C Li, S Chen, Y Chen, H Bian, M Hao, L Wei, X Zhang bioRxiv, 2024.01. 08.574757, 2024 | 1 | 2024 |
| uniHEART: An Ensemble Atlas of Cardiac Cells Provides Multifaceted Portraits of the Human Heart X Zhang, Y Chen, K Hua, S Xu, R You, M Hao, W Li, L Wei, J Jia, X Xi, ... | 1 | 2023 |
| A human ensemble cell atlas (hECA) enables in data cell sorting S Chen, Y Luo, H Gao, F Li, J Li, Y Chen, R You, M Hao, H Bian, X Xi, ... bioRxiv, 2021.07. 21.453289, 2021 | 1 | 2021 |
| PathOmCLIP: Connecting tumor histology with spatial gene expression via locally enhanced contrastive learning of Pathology and Single-cell foundation model Y Lee, X Liu, M Hao, T Liu, A Regev bioRxiv, 2024.12. 10.627865, 2024 | | 2024 |
| Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states T Liu, E De Brouwer, T Kuo, N Diamant, A Missarova, H Wang, M Hao, ... bioRxiv, 2024.11. 18.624166, 2024 | | 2024 |
| Design of multiple UAVs Using Computer Vision, Human Body Gusture and QR Code Recognition with Indoor Self-navigations H Minsheng, Z Ruidong, Z Qingyang, L Geng | | |
Lei WeiTsinghua UniversityE-mail megerősítve itt: mail.tsinghua.edu.cn