Qiu Xiao

发表

iCDA-CMG: identifying circRNA-disease associations by federating multi-similarity fusion and collective matrix completion

Xiwei Tang, Jiancheng Zhong, Qiu Xiao, 2020, Molecular Genetics and Genomics.

GLNMDA: a novel method for miRNA-disease association prediction based on global linear neighborhoods

Jia-wei Luo, Qiu Xiao, Shengpeng Yu, 2018, RNA biology.

An in-silico method with graph-based multi-label learning for large-scale predicting circRNA-disease associations.

Jiancheng Zhong, Qiu Xiao, Jiawei Luo, 2020, Genomics.

Breast Cancer Candidate Gene Detection Through Integration of Subcellular Localization Data With Protein–Protein Interaction Networks

Xiwei Tang, Qiu Xiao, Kai Yu, 2020, IEEE Transactions on NanoBioscience.

Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs

Ning Zhang, Jiawei Luo, Jianhua Dai, 2020, Briefings Bioinform..

A survey of circular RNAs in complex diseases: databases, tools and computational methods

Jianhua Dai, Qiu Xiao, Jiawei Luo, 2021, Briefings Bioinform..

Sex differences in the associations between adiposity distribution and cardiometabolic risk factors in overweight or obese individuals: a cross-sectional study

Jun Ma, Zhenghe Wang, B. Dong, 2021, BMC Public Health.

DNRLCNN: A CNN Framework for Identifying MiRNA–Disease Associations Using Latent Feature Matrix Extraction with Positive Samples

Wei Peng, Minzhu Xie, Jiancheng Zhong, 2022, Interdisciplinary Sciences: Computational Life Sciences.

Predicting miRNA-disease associations based on graph attention network with multi-source information

Qiu Xiao, Jiawei Luo, C. Liang, 2022, BMC Bioinformatics.

A novel information fusion strategy based on a regularized framework for identifying disease-related microRNAs

Keqin Li, Guohua Huang, Manman Peng, 2017 .

GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning

Qiu Xiao, Jiawei Luo, C. Liang, 2022, Comput. Biol. Chem..

A novel essential protein identification method based on PPI networks and gene expression data

Wei Peng, Minzhu Xie, Jiancheng Zhong, 2020, BMC Bioinform..

MCLPMDA: A novel method for miRNA‐disease association prediction based on matrix completion and label propagation

Cheng Liang, Qiu Xiao, Sheng-Peng Yu, 2018, Journal of cellular and molecular medicine.

Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs

Hamido Fujita, Jianhua Dai, Jiawei Luo, 2019, Knowl. Based Syst..

Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity

Cheng Liang, Jiawei Luo, Qiu Xiao, 2018, J. Biomed. Informatics.

DNRLCNN: A CNN Framework for Identifying MiRNA–Disease Associations Using Latent Feature Matrix Extraction with Positive Samples

Wei Peng, Minzhu Xie, Jiancheng Zhong, 2022, Interdisciplinary Sciences: Computational Life Sciences.

Prediction of miRNA and Disease Association based on Graph Convolution Network using Latent Feature Vector by Positive Samples

Jiancheng Zhong, Qiu Xiao, Ying Pan, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations

Cheng Liang, Jiawei Luo, Jie Cai, 2018, Bioinform..

Prediction of microRNA–disease associations with a Kronecker kernel matrix dimension reduction model

Cheng Liang, Guanghui Li, Qiu Xiao, 2018 .

Multiview Consensus Graph Learning for lncRNA–Disease Association Prediction

Cheng Liang, Qiu Xiao, Pingjian Ding, 2020, Frontiers in Genetics.

A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network

Jiawei Luo, Qiu Xiao, Qiu Xiao, 2017, J. Biomed. Informatics.

NCPCDA: network consistency projection for circRNA–disease association prediction

Cheng Liang, Jiawei Luo, Qiu Xiao, 2019, RSC advances.

Self-Weighted Multi-Kernel Multi-Label Learning for Potential miRNA-Disease Association Prediction

Cheng Liang, Huaxiang Zhang, Jiawei Luo, 2019, Molecular therapy. Nucleic acids.

Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk

Cheng Liang, Jiawei Luo, Qiu Xiao, 2017, IEEE Access.

Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework

Jianhua Dai, Jiawei Luo, Qiu Xiao, 2019, IEEE Journal of Biomedical and Health Informatics.

Prediction of LncRNA-Disease Associations Based on Network Consistency Projection

Yuejin Zhang, Jiawei Luo, Qiu Xiao, 2019, IEEE Access.

Using Graph Attention Network and Graph Convolutional Network to Explore Human CircRNA–Disease Associations Based on Multi-Source Data

Qiu Xiao, Jiawei Luo, C. Liang, 2022, Frontiers in Genetics.

NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning

Jianhua Dai, Qiu Xiao, Jiawei Luo, 2021, Briefings Bioinform..

Potential circRNA-disease association prediction using DeepWalk and network consistency projection

Cheng Liang, Jiawei Luo, Hailin Chen, 2020, J. Biomed. Informatics.

iCDA-CMG: identifying circRNA-disease associations by federating multi-similarity fusion and collective matrix completion

Xiwei Tang, Jiancheng Zhong, Qiu Xiao, 2020, Molecular Genetics and Genomics.

Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer

Cheng Liang, Qiu Xiao, Guanghui Li, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer

Cheng Liang, Jiawei Luo, Jie Cai, 2019, BMC Bioinformatics.

Human disease MiRNA inference by combining target information based on heterogeneous manifolds

Cheng Liang, Jiawei Luo, Qiu Xiao, 2018, J. Biomed. Informatics.

Predicting miRNA-disease associations via multi-channel graph convolutional networks

Jiancheng Zhong, Qiu Xiao, Haoran Zheng, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Self-Weighted Multi-Kernel Multi-Label Learning for Potential miRNA-Disease Association Prediction

Qiu Xiao, Jiawei Luo, C. Liang, 2019, Molecular therapy. Nucleic acids.

Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data

Cheng Liang, Jiawei Luo, Qiu Xiao, 2017, IEEE Access.

A path-based measurement for human miRNA functional similarities using miRNA-disease associations

Jiawei Luo, Qiu Xiao, Pingjian Ding, 2016, Scientific Reports.