30 citations · 51 across the 5 of their papers we have counts for
5 papers
LangCell: Language-Cell Pre-training for Cell Identity Understanding
Suyuan Zhao, Jiahuan Zhang, Yushuai Wu +2
Cell identity encompasses various semantic aspects of a cell, including cell type, pathway information, disease information, and more, which are essential for biologists to gain in…
DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation
Yushuai Wu, Ting Zhang, Hao Zhou +11
The fields of therapeutic application and drug research and development (R&D) both face substantial challenges, i.e., the therapeutic domain calls for more treatment alternatives,…
BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine
Yizhen Luo, Jiahuan Zhang, Siqi Fan +4
Foundation models (FMs) have exhibited remarkable performance across a wide range of downstream tasks in many domains. Nevertheless, general-purpose FMs often face challenges when…
Large-Scale Cell Representation Learning via Divide-and-Conquer Contrastive Learning
Suyuan Zhao, Jiahuan Zhang, Zaiqing Nie
Single-cell RNA sequencing (scRNA-seq) data is a potent tool for comprehending the "language of life" and can provide insights into various downstream biomedical tasks. Large-scale…
Towards Unified AI Drug Discovery with Multiple Knowledge Modalities
Yizhen Luo, Xing Yi Liu, Kai Yang +5
In recent years, AI models that mine intrinsic patterns from molecular structures and protein sequences have shown promise in accelerating drug discovery. However, these methods pa…