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Yahui Long

Showing results (11-20 of 24) with videos related to

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Bioinformatics (Oxford, England)|August 12, 2023
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learningBing-Xue Du, Yahui Long, Xiaoli Li, et al.
Bioinformatics (Oxford, England)|December 31, 2020
Ensembling graph attention networks for human microbe-drug association predictionYahui Long, Min Wu, Yong Liu, et al.
Nature Communications|July 3, 2024
ezSingleCell: an integrated one-stop single-cell and spatial omics analysis platform for bench scientistsRaman Sethi, Kok Siong Ang, Mengwei Li, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
scGANCL: Bidirectional Generative Adversarial Network for Imputing scRNA-Seq Data With Contrastive LearningWanwan Shi, Yahui Long, Jiawei Luo, et al.
Methods (San Diego, Calif.)|February 28, 2025
A novel interpretability framework for enzyme turnover number prediction boosted by pre-trained enzyme embeddings and adaptive gate networkBing-Xue Du, Haoyang Yu, Bei Zhu, et al.
Briefings in Bioinformatics|July 19, 2023
Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanismBo Wang, Jiawei Luo, Ying Liu, et al.
Nature Communications|February 13, 2025
Author Correction: Benchmarking machine learning methods for synthetic lethality prediction in cancerYimiao Feng, Yahui Long, He Wang, et al.
Nature Communications|October 20, 2024
Benchmarking machine learning methods for synthetic lethality prediction in cancerYimiao Feng, Yahui Long, He Wang, et al.
Methods (San Diego, Calif.)|August 22, 2021
Heterogeneous graph attention networks for drug virus association predictionYahui Long, Yu Zhang, Min Wu, et al.
Bioinformatics (Oxford, England)|February 20, 2021
Graph contextualized attention network for predicting synthetic lethality in human cancersYahui Long, Min Wu, Yong Liu, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|August 12, 2023
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learningBing-Xue Du, Yahui Long, Xiaoli Li, et al.
Bioinformatics (Oxford, England)|December 31, 2020
Ensembling graph attention networks for human microbe-drug association predictionYahui Long, Min Wu, Yong Liu, et al.
Nature Communications|July 3, 2024
ezSingleCell: an integrated one-stop single-cell and spatial omics analysis platform for bench scientistsRaman Sethi, Kok Siong Ang, Mengwei Li, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
scGANCL: Bidirectional Generative Adversarial Network for Imputing scRNA-Seq Data With Contrastive LearningWanwan Shi, Yahui Long, Jiawei Luo, et al.
Methods (San Diego, Calif.)|February 28, 2025
A novel interpretability framework for enzyme turnover number prediction boosted by pre-trained enzyme embeddings and adaptive gate networkBing-Xue Du, Haoyang Yu, Bei Zhu, et al.
Briefings in Bioinformatics|July 19, 2023
Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanismBo Wang, Jiawei Luo, Ying Liu, et al.
Nature Communications|February 13, 2025
Author Correction: Benchmarking machine learning methods for synthetic lethality prediction in cancerYimiao Feng, Yahui Long, He Wang, et al.
Nature Communications|October 20, 2024
Benchmarking machine learning methods for synthetic lethality prediction in cancerYimiao Feng, Yahui Long, He Wang, et al.
Methods (San Diego, Calif.)|August 22, 2021
Heterogeneous graph attention networks for drug virus association predictionYahui Long, Yu Zhang, Min Wu, et al.
Bioinformatics (Oxford, England)|February 20, 2021
Graph contextualized attention network for predicting synthetic lethality in human cancersYahui Long, Min Wu, Yong Liu, et al.
Pageof 3