2 citations · 3 across the 4 of their papers we have counts for
4 papers
SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics
Suyuan Zhao, Yizhen Luo, Ganbo Yang +3
Spatial Transcriptomics (ST) technologies provide biologists with rich insights into single-cell biology by preserving spatial context of cells. Building foundational models for ST…
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
Yizhen Luo, Zikun Nie, Massimo Hong +3
Studying protein mutations within amino acid sequences holds tremendous significance in life sciences. Protein language models (PLMs) have demonstrated strong capabilities in broad…
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
Yizhen Luo, Kai Yang, Massimo Hong +4
Capturing molecular knowledge with representation learning approaches holds significant potential in vast scientific fields such as chemistry and life science. An effective and gen…
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,…