13 citations · 21 across the 9 of their papers we have counts for
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q-bio.GN2026
CellMSA: Context Modeling for Single-Cell Representation Learning
Suyuan Zhao, Minghao Liu, Yizhen Luo +1
Single-cell transcriptomics enables profiling of cellular states at unprecedented resolution, but its high dimensionality, sparsity, and technical batch effects pose significant ch…
q-bio.GN2025★ 2 cited
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…
q-bio.GN2024★ 5 cited
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…