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Author

Yideng Cai

ORCID: 0000-0003-3820-1804
Observed ORCID: 0000-0003-3820-1804
OpenAlex ID: A5010917006
DeepST: identifying spatial domains in spatial transcriptomics by deep learning
2022 · Chang Xu, Xiyun Jin, et al. · Nucleic Acids Research · 358
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DLpTCR: an ensemble deep learning framework for predicting immunogenic peptide recognized by T cell receptor
2021 · Zhaochun Xu, Meng Luo, et al. · Briefings in Bioinformatics · 103
SDN2GO: An Integrated Deep Learning Model for Protein Function Prediction
2020 · Yideng Cai, Jiacheng Wang, et al. · Frontiers in Bioengineering and Biotechnology · 86
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Deciphering cell–cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network
2024 · Wenyi Yang, Pingping Wang, et al. · Nature Communications · 79
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Pathway-Guided Deep Neural Network toward Interpretable and Predictive Modeling of Drug Sensitivity
2020 · Lei Deng, Yideng Cai, et al. · Journal of Chemical Information and Modeling · 71
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DeepCCI: a deep learning framework for identifying cell–cell interactions from single-cell RNA sequencing data
2023 · Wenyi Yang, Pingping Wang, et al. · Bioinformatics · 30
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Identification of shared characteristics in tumor-infiltrating T cells across 15 cancers
2023 · Xiyun Jin, Yideng Cai, et al. · Molecular Therapy — Nucleic Acids · 25
DeepMiR2GO: Inferring Functions of Human MicroRNAs Using a Deep Multi-Label Classification Model
2019 · Jiacheng Wang, Jingpu Zhang, et al. · International Journal of Molecular Sciences · 22
The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
2024 · Yideng Cai, Meng Luo, et al. · Cancer Research · 21
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Charting the spatial transcriptome of the human cerebral cortex at single-cell resolution
2025 · Songren Wei, Meng Luo, et al. · Nature Communications · 19
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Identifying T cell antigen at the atomic level with graph convolutional network
2025 · Jinhao Que, Guangfu Xue, et al. · Nature Communications · 19
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CBLRR: a cauchy-based bounded constraint low-rank representation method to cluster single-cell RNA-seq data
2022 · Qian Ding, Wenyi Yang, et al. · Briefings in Bioinformatics · 13
Dimension reduction, cell clustering, and cell–cell communication inference for single-cell transcriptomics with DcjComm
2024 · Qian Ding, Wenyi Yang, et al. · Genome biology · 12
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TriCLFF: a multi-modal feature fusion framework using contrastive learning for spatial domain identification
2025 · Fenglan Pang, Guangfu Xue, et al. · Briefings in Bioinformatics · 5
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Functional requirement of alternative splicing in epithelial-mesenchymal transition of pancreatic circulating tumor
2024 · Lixing Xiao, Haoxiu Sun, et al. · Molecular Therapy — Nucleic Acids · 5
DeepCCI: a deep learning framework for identifying cell-cell interactions from single-cell RNA sequencing data
2022 · Wenyi Yang, Zhaochun Xu, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 4
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Systematic evaluation of computational methods for cell segmentation
2026 · Rongrong Yang, Guangfu Xue, et al. · Briefings in Bioinformatics · 3
AI-driven computational methods and benchmarking for T-cell antigen identification
2026 · Yang Deng, Jinhao Que, et al. · Briefings in Bioinformatics · 1
ScanTCR Enables Early Cancer Detection by Repertoire-Scale Representation of Cancer-Associated T-Cell Receptors in Peripheral Blood
2026 · Jinwei Zhang, Yideng Cai, et al. · Cancer Research
Analysis code for human cortical gene programs (v52)
2026 · Meng LUO, Hongxin Liu, et al. · Figshare
Analysis code for human cortical gene programs (v52)
2026 · Meng LUO, Hongxin Liu, et al. · Figshare
Data from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
2024 · Yideng Cai, Meng Luo, et al.
Supplementary Table S6 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
2024 · Yideng Cai, Meng Luo, et al.
Supplementary Table S3 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
2024 · Yideng Cai, Meng Luo, et al.
Supplementary Table S5 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
2024 · Yideng Cai, Meng Luo, et al.
Works count: 42
Citation count: 870
H-index: 12
I10-index: 13
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