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Le Ou-Yang

Showing results (1-10 of 75) with videos related to

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Briefings in Bioinformatics|December 31, 2022
Inferring gene regulatory networks from single-cell gene expression data via deep multi-view contrastive learningZerun Lin, Le Ou-Yang
Bioinformatics (Oxford, England)|March 6, 2026
SeOMLR: one-step multi-view latent representation with self-weighted ensemble learning for multi-omics cancer subtypingWenjing Song, Yesen Sun, Le Ou-Yang
IEEE Journal of Biomedical and Health Informatics|September 19, 2023
scMIC: A Deep Multi-Level Information Fusion Framework for Clustering Single-Cell Multi-Omics DataYoulin Zhan, Jiahan Liu, Le Ou-Yang
IEEE Transactions on Medical Imaging|August 19, 2025
LGFFM: A Localized and Globalized Frequency Fusion Model for Ultrasound Image SegmentationXiling Luo, Yi Wang, Le Ou-Yang
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
GFLearn: Generalized Feature Learning for Drug-Target Binding Affinity PredictionZibo Huang, Xinrui Weng, Le Ou-Yang
BMC Bioinformatics|December 9, 2017
A multi-network clustering method for detecting protein complexes from multiple heterogeneous networksLe Ou-Yang, Hong Yan, Xiao-Fei Zhang
Molecular Biosystems|November 22, 2016
Identifying differential networks based on multi-platform gene expression dataLe Ou-Yang, Hong Yan, Xiao-Fei Zhang
Computational and Structural Biotechnology Journal|February 3, 2023
Inferring cancer common and specific gene networks via multi-layer joint graphical modelYuanxiao Chen, Xiao-Fei Zhang, Le Ou-Yang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 3, 2021
WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics DataYesen Sun, Le Ou-Yang, Dao-Qing Dai
Computational Biology and Chemistry|April 9, 2017
Node-based differential network analysis in genomicsXiao-Fei Zhang, Le Ou-Yang, Hong Yan
Pageof 8

Showing results (1-10 of 75) with videos related to

Sort By:
Pageof 8
Briefings in Bioinformatics|December 31, 2022
Inferring gene regulatory networks from single-cell gene expression data via deep multi-view contrastive learningZerun Lin, Le Ou-Yang
Bioinformatics (Oxford, England)|March 6, 2026
SeOMLR: one-step multi-view latent representation with self-weighted ensemble learning for multi-omics cancer subtypingWenjing Song, Yesen Sun, Le Ou-Yang
IEEE Journal of Biomedical and Health Informatics|September 19, 2023
scMIC: A Deep Multi-Level Information Fusion Framework for Clustering Single-Cell Multi-Omics DataYoulin Zhan, Jiahan Liu, Le Ou-Yang
IEEE Transactions on Medical Imaging|August 19, 2025
LGFFM: A Localized and Globalized Frequency Fusion Model for Ultrasound Image SegmentationXiling Luo, Yi Wang, Le Ou-Yang
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
GFLearn: Generalized Feature Learning for Drug-Target Binding Affinity PredictionZibo Huang, Xinrui Weng, Le Ou-Yang
BMC Bioinformatics|December 9, 2017
A multi-network clustering method for detecting protein complexes from multiple heterogeneous networksLe Ou-Yang, Hong Yan, Xiao-Fei Zhang
Molecular Biosystems|November 22, 2016
Identifying differential networks based on multi-platform gene expression dataLe Ou-Yang, Hong Yan, Xiao-Fei Zhang
Computational and Structural Biotechnology Journal|February 3, 2023
Inferring cancer common and specific gene networks via multi-layer joint graphical modelYuanxiao Chen, Xiao-Fei Zhang, Le Ou-Yang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 3, 2021
WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics DataYesen Sun, Le Ou-Yang, Dao-Qing Dai
Computational Biology and Chemistry|April 9, 2017
Node-based differential network analysis in genomicsXiao-Fei Zhang, Le Ou-Yang, Hong Yan
Pageof 8