Le Ou-Yang
Orcid: 0000-0003-4007-4568
According to our database1,
Le Ou-Yang
authored at least 63 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
scMIC: A Deep Multi-Level Information Fusion Framework for Clustering Single-Cell Multi-Omics Data.
IEEE J. Biomed. Health Informatics, December, 2023
IEEE Internet Things J., July, 2023
A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks.
Comput. Biol. Medicine, June, 2023
Inferring gene regulatory networks from single-cell gene expression data via deep multi-view contrastive learning.
Briefings Bioinform., January, 2023
scTSSR2: Imputing Dropout Events for Single-Cell RNA Sequencing Using Fast Two-Side Self-Representation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023
2022
Inferring Gene Co-Expression Networks by Incorporating Prior Protein-Protein Interaction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Anderson accelerating the preconditioned modulus approach for linear complementarity problems on second-order cones.
Numer. Algorithms, 2022
CoRR, 2022
DEMOC: a deep embedded multi-omics learning approach for clustering single-cell CITE-seq data.
Briefings Bioinform., 2022
Matrix factorization for biomedical link prediction and scRNA-seq data imputation: an empirical survey.
Briefings Bioinform., 2022
scDEA: differential expression analysis in single-cell RNA-sequencing data via ensemble learning.
Briefings Bioinform., 2022
2021
A Joint Graphical Model for Inferring Gene Networks Across Multiple Subpopulations and Data Types.
IEEE Trans. Cybern., 2021
Time-Varying Differential Network Analysis for Revealing Network Rewiring over Cancer Progression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
EnTSSR: A Weighted Ensemble Learning Method to Impute Single-Cell RNA Sequencing Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
The selection of the optimal parameter in the modulus-based matrix splitting algorithm for linear complementarity problems.
Comput. Optim. Appl., 2021
Differential network analysis by simultaneously considering changes in gene interactions and gene expression.
Bioinform., 2021
WDNE: an integrative graphical model for inferring differential networks from multi-platform gene expression data with missing values.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Proceedings of the 17th International Conference on Machine Vision and Applications, 2021
2020
A Machine Learning Approach to Blind Multi-Path Classification for Massive MIMO Systems.
IEEE/ACM Trans. Netw., 2020
IEEE/ACM Trans. Netw., 2020
IEEE Trans. Commun., 2020
Identifying Gene Network Rewiring Using Robust Differential Graphical Model with Multivariate $t$t-Distribution.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Differential Network Analysis via Weighted Fused Conditional Gaussian Graphical Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Sparse regularized low-rank tensor regression with applications in genomic data analysis.
Pattern Recognit., 2020
Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation.
Medical Image Anal., 2020
A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks.
Bioinform., 2020
Joint reconstruction of multiple gene networks by simultaneously capturing inter-tumor and intra-tumor heterogeneity.
Bioinform., 2020
scTSSR: gene expression recovery for single-cell RNA sequencing using two-side sparse self-representation.
Bioinform., 2020
2019
IEEE Trans. Cybern., 2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
CoRR, 2019
Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization.
BMC Bioinform., 2019
EnImpute: imputing dropout events in single-cell RNA-sequencing data via ensemble learning.
Bioinform., 2019
Bioinform., 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Sparse Low-rank Constrained Adaptive Structure Learning using Multi-template for Autism Spectrum Disorder Diagnosis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Identifying Gene Network Rewiring by Integrating Gene Expression and Gene Network Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
DiffGraph: an R package for identifying gene network rewiring using differential graphical models.
Bioinform., 2018
Bioinform., 2018
2017
Protein Complex Detection via Effective Integration of Base Clustering Solutions and Co-Complex Affinity Scores.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.
BMC Bioinform., 2017
Incorporating prior information into differential network analysis using non-paranormal graphical models.
Bioinform., 2017
2016
Comparative analysis of housekeeping and tissue-specific driver nodes in human protein interaction networks.
BMC Bioinform., 2016
Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer.
BMC Bioinform., 2016
BMC Bioinform., 2016
BMC Bioinform., 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
BMC Bioinform., 2015
2014
Microbial community pattern detection in human body habitats via ensemble clustering framework.
BMC Syst. Biol., 2014
Detecting overlapping protein complexes based on a generative model with functional and topological properties.
BMC Bioinform., 2014
Detecting temporal protein complexes from dynamic protein-protein interaction networks.
BMC Bioinform., 2014