3 citations · 4 across the 3 of their papers we have counts for
3 papers
q-bio.GN2026
Subcellularly Resolved Single-Cell Embedding Learning with Transcriptomic data, Protein Structure and Localization Information
Zhen Zhou, Jiachen Li, Yuan Liu +2
Existing cell embedding methods predominantly rely on transcriptomic or proteomic measurements and represent each cell as a holistic entity, thereby overlooking the subcellular loc…
cs.AI2024★ 1 cited
ProtDAT: A Unified Framework for Protein Sequence Design from Any Protein Text Description
Xiao-Yu Guo, Yi-Fan Li, Yuan Liu +2
Protein design has become a critical method in advancing significant potential for various applications such as drug development and enzyme engineering. However, protein design met…
q-bio.BM2023★ 3 cited
FoldExplorer: Fast and Accurate Protein Structure Search with Sequence-Enhanced Graph Embedding
Yuan Liu, Hong-Bin Shen
The advent of highly accurate protein structure prediction methods has fueled an exponential expansion of the protein structure database. Consequently, there is a rising demand for…