Deep learning in single-cell analysis D Molho, J Ding, W Tang, Z Li, H Wen, Y Wang, J Venegas, W Jin, R Liu, ... ACM Transactions on Intelligent Systems and Technology 15 (3), 1-62, 2024 | 12 | 2024 |
Dance: A deep learning library and benchmark for single-cell analysis J Ding, H Wen, W Tang, R Liu, Z Li, J Venegas, R Su, D Molho, W Jin, ... bioRxiv, 2022.10. 19.512741, 2022 | 7 | 2022 |
Single-Cell Multimodal Prediction via Transformers W Tang, H Wen, R Liu, J Ding, W Jin, Y Xie, H Liu, J Tang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 4 | 2023 |
Single cells are spatial tokens: Transformers for spatial transcriptomic data imputation H Wen, W Tang, W Jin, J Ding, R Liu, F Shi, Y Xie, J Tang arXiv preprint arXiv:2302.03038, 2023 | 3 | 2023 |
Graph Foundation Models H Mao, Z Chen, W Tang, J Zhao, Y Ma, T Zhao, N Shah, M Galkin, J Tang arXiv preprint arXiv:2402.02216, 2024 | 2 | 2024 |
A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models W Tang, R Liu, H Wen, X Dai, J Ding, H Li, W Fan, Y Xie, J Tang bioRxiv, 2023.10. 13.562243, 2023 | 2 | 2023 |
Graph Machine Learning in the Era of Large Language Models (LLMs) W Fan, S Wang, J Huang, Z Chen, Y Song, W Tang, H Mao, H Liu, X Liu, ... arXiv preprint arXiv:2404.14928, 2024 | 1 | 2024 |
DANCE: A deep learning library and benchmark platform for single-cell analysis J Ding, R Liu, H Wen, W Tang, Z Li, J Venegas, R Su, D Molho, W Jin, ... Genome Biology 25 (1), 72, 2024 | 1 | 2024 |
SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology J Ding, J Venegas, Q Lu, Y Wang, L Wu, W Jin, H Wen, R Liu, W Tang, ... bioRxiv, 2023.04. 11.536333, 2023 | 1 | 2023 |
CellPLM: Pre-training of Cell Language Model Beyond Single Cells H Wen, W Tang, X Dai, J Ding, W Jin, Y Xie, J Tang bioRxiv, 2023.10. 03.560734, 2023 | 1 | 2023 |
MEM-GAN: A Pseudo Membrane Generator for Single-cell Imaging in Fluorescent Microscopy Y Wang, J Ding, L Wu, A Wardhani, P Danaher, Q Lu, H Wen, W Tang, ... bioRxiv, 2023.11. 08.566343, 2023 | | 2023 |