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Fuying Dao

Showing results (1-10 of 18) with videos related to

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Methods (San Diego, Calif.)|September 9, 2024
Exploring the potential of epigenetic clocks in aging researchYuduo Hao, Kaiyuan Han, Ting Wang, et al.
Imeta|August 27, 2025
scRiskCell: A single-cell framework for quantifying islet risk cells and their adaptive dynamics in type 2 diabetesXueqin Xie, Changchun Wu, Fuying Dao, et al.
BMC Biology|July 14, 2025
BertADP: a fine-tuned protein language model for anti-diabetic peptide predictionXueqin Xie, Changchun Wu, Yixuan Qi, et al.
BMC Biology|July 14, 2025
NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptidesChengzhi Xie, Yijie Wei, Xinwei Luo, et al.
International Journal of Molecular Sciences|November 27, 2025
Single-Cell Multi-Omics in Type 2 Diabetes Mellitus: Revealing Cellular Heterogeneity and Mechanistic InsightsYijie Wei, Feitong Hong, Sijia Xie, et al.
Cardiovascular Diabetology|July 24, 2025
Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetesXueqin Xie, Changchun Wu, Yuhe Yang, et al.
Imeta|August 27, 2025
RepliChrom: Interpretable machine learning predicts cancer-associated enhancer-promoter interactions using DNA replication timingFuying Dao, Benjamin Lebeau, Crystal Chia Yin Ling, et al.
Aging and Disease|March 28, 2025
Towards Precision Aging Biology: Single-Cell Multi-Omics and Advanced AI-Driven StrategiesSijia Xie, Xinwei Luo, Feitong Hong, et al.
International Journal of Molecular Sciences|January 8, 2025
Empirical Comparison and Analysis of Artificial Intelligence-Based Methods for Identifying Phosphorylation Sites of SARS-CoV-2 InfectionHongyan Lai, Tao Zhu, Sijia Xie, et al.
Briefings in Bioinformatics|February 26, 2026
Artificial intelligence-powered prediction of diabetic complications: from clinical data to molecular omicsXueqin Xie, Changchun Wu, Ziru Huang, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Methods (San Diego, Calif.)|September 9, 2024
Exploring the potential of epigenetic clocks in aging researchYuduo Hao, Kaiyuan Han, Ting Wang, et al.
Imeta|August 27, 2025
scRiskCell: A single-cell framework for quantifying islet risk cells and their adaptive dynamics in type 2 diabetesXueqin Xie, Changchun Wu, Fuying Dao, et al.
BMC Biology|July 14, 2025
BertADP: a fine-tuned protein language model for anti-diabetic peptide predictionXueqin Xie, Changchun Wu, Yixuan Qi, et al.
BMC Biology|July 14, 2025
NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptidesChengzhi Xie, Yijie Wei, Xinwei Luo, et al.
International Journal of Molecular Sciences|November 27, 2025
Single-Cell Multi-Omics in Type 2 Diabetes Mellitus: Revealing Cellular Heterogeneity and Mechanistic InsightsYijie Wei, Feitong Hong, Sijia Xie, et al.
Cardiovascular Diabetology|July 24, 2025
Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetesXueqin Xie, Changchun Wu, Yuhe Yang, et al.
Imeta|August 27, 2025
RepliChrom: Interpretable machine learning predicts cancer-associated enhancer-promoter interactions using DNA replication timingFuying Dao, Benjamin Lebeau, Crystal Chia Yin Ling, et al.
Aging and Disease|March 28, 2025
Towards Precision Aging Biology: Single-Cell Multi-Omics and Advanced AI-Driven StrategiesSijia Xie, Xinwei Luo, Feitong Hong, et al.
International Journal of Molecular Sciences|January 8, 2025
Empirical Comparison and Analysis of Artificial Intelligence-Based Methods for Identifying Phosphorylation Sites of SARS-CoV-2 InfectionHongyan Lai, Tao Zhu, Sijia Xie, et al.
Briefings in Bioinformatics|February 26, 2026
Artificial intelligence-powered prediction of diabetic complications: from clinical data to molecular omicsXueqin Xie, Changchun Wu, Ziru Huang, et al.
Pageof 2