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Ruoyan Dai

Attention-guided variational graph autoencoders reveal heterogeneity in spatial transcriptomics
2024 · Lixin Lei, Kaitai Han, et al. · Briefings in Bioinformatics · 19
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KanCell: dissecting cellular heterogeneity in biological tissues through integrated single-cell and spatial transcriptomics
2024 · Zhenghui Wang, Ruoyan Dai, et al. · Journal of genetics and genomics/Journal of Genetics and Genomics · 8
SpaOmicsVAE: A deep learning framework for integrative analysis of spatial multi-omics data
2025 · Zhiwei Zhang, Mengqiu Wang, et al. · Computer Methods and Programs in Biomedicine · 6
Innovative Mamba and graph transformer framework for superior protein-ligand affinity prediction
2024 · Kaitai Han, Chaojing Shi, et al. · Microchemical Journal · 6
GraphCellNet: A deep learning method for integrated single-cell and spatial transcriptomic analysis with applications in development and disease
2025 · Ruoyan Dai, Zhenghui Wang, et al. · Journal of Molecular Medicine · 4
SpatioFreq: A Deep Learning Framework for Decoding Cellular and Tissue Landscapes Across Organisms Using Spatial Transcriptomics
2026 · Zhenghui Wang, Ruoyan Dai, et al. · Interdisciplinary Sciences Computational Life Sciences · 2
MNiST: A deep learning framework for multi-scale spatial feature modeling and cellular landscape decoding in spatial
2025 · Zhenghui Wang, Ruoyan Dai, et al. · Knowledge-Based Systems · 2
Enhanced inhibitor–kinase affinity prediction via integrated multimodal analysis of drug molecule and protein sequence features
2025 · Zhenxing Li, Kaitai Han, et al. · International Journal of Biological Macromolecules · 1
VARGG: a deep learning framework advancing precise spatial domain identification and cellular heterogeneity analysis in spatial transcriptomics
2025 · Mengqiu Wang, Zhiwei Zhang, et al. · Briefings in Functional Genomics · 1
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GraphCVAE: Uncovering cell heterogeneity and therapeutic target discovery through residual and contrastive learning
2024 · Zhiwei Zhang, Mengqiu Wang, et al. · Life Sciences · 1
SpatialHSM: A multi-scale spatial domain identification framework via frequency–state fusion and contrastive learning
2026 · Ruoyan Dai, Zhenghui Wang, et al. · Biomedical Signal Processing and Control
DSSMST: A Deterministic State Space Model for Self-Supervised Spatial Domain Identification in Spatial Transcriptomics
2026 · Jirui Zhang, Xingyu Liu, et al. · Biochemical Genetics
A multi-scale graph frequency network for structural and functional region analysis in spatial transcriptomics
2026 · Ruoyan Dai, Zhenghui Wang, et al. · Functional & Integrative Genomics
STELLA: a spatial transcriptomics framework for microenvironment decoding using dynamic graph neural networks
2026 · Mengqiu Wang, Zhiwei Zhang, et al. · Science China Life Sciences
SpatialFusion: A Unified Model for Integrating Spatial Transcriptomics to Unveil Cell-type Distribution, Interaction, and Functional Heterogeneity in Tissue Microenvironments
2025 · Mengqiu Wang, Zhiwei Zhang, et al. · Journal of Molecular Biology
A novel deep learning framework for predicting protein-ligand interaction fingerprints from sequence data: integrating graph inductive bias transformer with Kolmogorov-Arnold networks
2025 · Lixin Lei, Qianjin Guo, et al. · Computational Toxicology
Multi-scale wavelet network for high-quality sparse photoacoustic imaging
2025 · Xudong Zhao, Shuguo Hu, et al. · International Academic Conference on Optics and Photonics (IACOP)
Works count: 17
Citation count: 50
H-index: 4
I10-index: 1
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