Le Ou-Yang
Le Ou-Yang
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Geciteerd door
Geciteerd door
Detecting temporal protein complexes from dynamic protein-protein interaction networks
L Ou-Yang, DQ Dai, XL Li, M Wu, XF Zhang, P Yang
BMC bioinformatics 15, 1-14, 2014
Determining minimum set of driver nodes in protein-protein interaction networks
XF Zhang, L Ou-Yang, Y Zhu, MY Wu, DQ Dai
BMC bioinformatics 16, 1-13, 2015
Recent advances in network-based methods for disease gene prediction
SK Ata, M Wu, Y Fang, L Ou-Yang, CK Kwoh, XL Li
Briefings in bioinformatics 22 (4), bbaa303, 2021
A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks
ZC Zhang, XF Zhang, M Wu, L Ou-Yang, XM Zhao, XL Li
Bioinformatics 36 (11), 3474-3481, 2020
Predicting the impacts of mutations on protein-ligand binding affinity based on molecular dynamics simulations and machine learning methods
DD Wang, L Ou-Yang, H Xie, M Zhu, H Yan
Computational and structural biotechnology journal 18, 439-454, 2020
Detecting overlapping protein complexes based on a generative model with functional and topological properties
XF Zhang, DQ Dai, L Ou-Yang, H Yan
BMC bioinformatics 15, 1-15, 2014
Incorporating prior information into differential network analysis using non-paranormal graphical models
XF Zhang, L Ou-Yang, H Yan
Bioinformatics 33 (16), 2436-2445, 2017
Differential network analysis from cross-platform gene expression data
XF Zhang, L Ou-Yang, XM Zhao, H Yan
Scientific reports 6 (1), 34112, 2016
Detecting protein complexes from signed protein-protein interaction networks
L Ou-Yang, DQ Dai, XF Zhang
IEEE/ACM transactions on computational biology and bioinformatics 12 (6 …, 2015
Graph convolutional network analysis for mild cognitive impairment prediction
X Zhao, F Zhou, L Ou-Yang, T Wang, B Lei
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
Integrating node embeddings and biological annotations for genes to predict disease-gene associations
SK Ata, L Ou-Yang, Y Fang, CK Kwoh, M Wu, XL Li
BMC systems biology 12, 31-44, 2018
Protein complex detection via weighted ensemble clustering based on Bayesian nonnegative matrix factorization
L Ou-Yang, DQ Dai, XF Zhang
PloS one 8 (5), e62158, 2013
EnImpute: imputing dropout events in single-cell RNA-sequencing data via ensemble learning
XF Zhang, L Ou-Yang, S Yang, XM Zhao, X Hu, H Yan
Bioinformatics 35 (22), 4827-4829, 2019
Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization
J Huang, M Wu, F Lu, L Ou-Yang, Z Zhu
BMC bioinformatics 20, 1-8, 2019
Identifying gene network rewiring by integrating gene expression and gene network data
T Xu, L Ou-Yang, X Hu, XF Zhang
IEEE/ACM Transactions on Computational Biology and Bioinformatics 15 (6 …, 2018
Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation
F Huang, EL Tan, P Yang, S Huang, L Ou-Yang, J Cao, T Wang, B Lei
Medical image analysis 63, 101662, 2020
RepLong: de novo repeat identification using long read sequencing data
R Guo, YR Li, S He, L Ou-Yang, Y Sun, Z Zhu
Bioinformatics 34 (7), 1099-1107, 2018
scTSSR: gene expression recovery for single-cell RNA sequencing using two-side sparse self-representation
K Jin, L Ou-Yang, XM Zhao, H Yan, XF Zhang
Bioinformatics 36 (10), 3131-3138, 2020
A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks
L Ou-Yang, H Yan, XF Zhang
BMC bioinformatics 18, 23-34, 2017
Exploring overlapping functional units with various structure in protein interaction networks
XF Zhang, DQ Dai, L Ou-Yang, MY Wu
Public Library of Science 7 (8), e43092, 2012
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