Guiying Yan

发表

LRLSHMDA: Laplacian Regularized Least Squares for Human Microbe–Disease Association prediction

Zexuan Zhu, Xing Chen, Zhi-an Huang, 2017, Scientific Reports.

Prediction of microbe–disease association from the integration of neighbor and graph with collaborative recommendation model

Xing Chen, Zhi-an Huang, Yu-An Huang, 2017, Journal of Translational Medicine.

RWRMDA: predicting novel human microRNA-disease associations.

Xing Chen, Guiying Yan, Mingxi Liu, 2012, Molecular bioSystems.

Semi-supervised learning for potential human microRNA-disease associations inference

Xing Chen, Guiying Yan, 2014, Scientific Reports.

RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction

Xing Chen, Guiying Yan, Qiao-Feng Wu, 2017, RNA biology.

IRWRLDA: improved random walk with restart for lncRNA-disease association prediction

Xing Chen, Zhuhong You, Guiying Yan, 2016, Oncotarget.

IDLDA: An Improved Diffusion Model for Predicting LncRNA–Disease Associations

Guiying Yan, Qi Wang, 2019, Front. Genet..

A novel candidate disease genes prioritization method based on module partition and rank fusion.

Xing Chen, Guiying Yan, X. Liao, 2010, Omics : a journal of integrative biology.

Prediction of Disease-Related Interactions between MicroRNAs and Environmental Factors Based on a Semi-Supervised Classifier

Q. Cui, Xing Chen, Guiying Yan, 2012, PloS one.

RWRDC: Predicting Efficacious Drug Combinations in Cancer Based on Random Walk with Restart

Guiying Yan, Qi Wang, 2020 .

HRWR: Predicting Potential Efficacious Drug Combination Based on Hypergraph Random Walk with Restart

Guiying Yan, Guiying Yan, Qi Wang, 2020, bioRxiv.

A Computational Framework to Infer Human Disease-Associated Long Noncoding RNAs

Xing Chen, Geng Chen, Gui-Ying Yan, 2014, PloS one.

ASDCD: Antifungal Synergistic Drug Combination Database

Xing Chen, Biao Ren, Gui-Ying Yan, 2014, PloS one.

Integrating random walk and binary regression to identify novel miRNA-disease association

Xing Chen, Ya-Wei Niu, Gui-Ying Yan, 2019, BMC Bioinformatics.

PRMDA: personalized recommendation-based MiRNA-disease association prediction

Zhu-Hong You, Zheng-Wei Li, Xing Chen, 2017, Oncotarget.

NRWRH for Drug Target Prediction ∗

Xing Chen, Guiying Yan, 2010 .

A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases.

Xing Chen, Zhu-Hong You, Xuesong Wang, 2018, Bioinformatics.

PBHMDA: Path-Based Human Microbe-Disease Association Prediction

Zhu-Hong You, Zexuan Zhu, Zhenkun Wen, 2017, Front. Microbiol..

A New Estimation Method for the Biological Interaction Predicting Problems

Guiying Yan, Lewei Zhou, Yucong Tang, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning

Xing Chen, Ming Chen, Lixin Zhang, 2016, PLoS Comput. Biol..

LncRNADisease: a database for long-non-coding RNA-associated diseases

Xing Chen, Ziyun Wang, Guiying Yan, 2012, Nucleic Acids Res..

MCMDA: Matrix completion for MiRNA-disease association prediction

Xing Chen, Jian-Qiang Li, Zhu-Hong You, 2017, Oncotarget.

GIMDA: Graphlet interaction‐based MiRNA‐disease association prediction

Na-Na Guan, Jian-Qiang Li, Xing Chen, 2017, Journal of cellular and molecular medicine.

MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA–disease association prediction

Xing Chen, Guiying Yan, Ya-Wei Niu, 2017, Journal of Translational Medicine.

A novel computational model based on super-disease and miRNA for potential miRNA-disease association prediction.

Zhu-Hong You, De-Shuang Huang, Xing Chen, 2017, Molecular bioSystems.

PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction

Xing Chen, Zhu-Hong You, Zexuan Zhu, 2017, PLoS Comput. Biol..

HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction

Xing Chen, Zhu-Hong You, Chenggang Clarence Yan, 2016, Oncotarget.

Novel human lncRNA-disease association inference based on lncRNA expression profiles

Xing Chen, Guiying Yan, Xing Chen, 2013, Bioinform..

RWHMDA: Random Walk on Hypergraph for Microbe-Disease Association Prediction

Ya-Wei Niu, Cun-Quan Qu, Guang-Hui Wang, 2019, Front. Microbiol..

Integrating random walk and binary regression to identify novel miRNA-disease association

Xing Chen, Guiying Yan, Ya-Wei Niu, 2019, BMC Bioinformatics.

Maximal entropy random walk on heterogenous network for MIRNA-disease Association prediction.

Hua Liu, Ya-Wei Niu, Gui-Ying Yan, 2018, Mathematical biosciences.

SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction

Xing Chen, Qi Zhao, Di Xie, 2017, Oncotarget.

Drug-target interaction prediction by random walk on the heterogeneous network.

Xing Chen, Gui-Ying Yan, Ming-Xi Liu, 2012, Molecular bioSystems.

IHRW: An Improved Hypergraph Random Walk Model for Predicting Three-Drug Therapy

Guiying Yan, Qi Wang, 2021, bioRxiv.

LRLSHMDA: Laplacian Regularized Least Squares for Human Microbe–Disease Association prediction

Zexuan Zhu, Xing Chen, Zhi-an Huang, 2017, Scientific Reports.

A novel approach based on KATZ measure to predict associations of human microbiota with non‐infectious diseases

Zhu-Hong You, Xuesong Wang, Xing Chen, 2016, Bioinform..

Prediction of microbe–disease association from the integration of neighbor and graph with collaborative recommendation model

Xing Chen, Zhi-an Huang, Yu-An Huang, 2017, Journal of Translational Medicine.

Modularized Random Walk with Restart for Candidate Disease Genes Prioritization ∗

Xing Chen, Wei Ren, Guiying Yan, 2009 .

Predicting Brain Regions Related to Alzheimer's Disease Based on Global Feature

Luzeng Chen, Guiying Yan, Qi Wang, 2021, Frontiers in Computational Neuroscience.

GSSNN: Graph Smoothing Splines Neural Networks

Chuan Zhou, Bin Wang, Shirui Pan, 2020, AAAI.

Prevalence and Risk Factors of White Matter Lesions in Tibetan Patients Without Acute Stroke.

Huali Wang, Guiying Yan, Haiqiang Jin, 2019, Stroke.

Synergistic drug combinations prediction by integrating pharmacological data

Chengzhi Zhang, Guiying Yan, Guiying Yan, 2019, Synthetic and systems biotechnology.

Improving protein–protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model

Xing Chen, Ji‐Yong An, Fan‐Rong Meng, 2016, Protein science : a publication of the Protein Society.

Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier

Xing Chen, Zhu-Hong You, De-Shuang Huang, 2017, Oncotarget.

Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition

Xing Chen, Zhu-Hong You, Guiying Yan, 2016, BMC Systems Biology.

Robust and accurate prediction of protein self-interactions from amino acids sequence using evolutionary information.

Xing Chen, Zhu-Hong You, De-Shuang Huang, 2016, Molecular bioSystems.

NRDTD: a database for clinically or experimentally supported non-coding RNAs and drug targets associations

Xing Chen, Ya-Zhou Sun, Zhu-Hong You, 2017, Database J. Biol. Databases Curation.

MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA–disease association prediction

Xing Chen, Ya-Wei Niu, Gui-Ying Yan, 2017, Journal of Translational Medicine.

Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier

De-shuang Huang, Xing Chen, Yu-An Huang, 2017, Oncotarget.

Predicting Brain Regions Related to Alzheimer’s Disease Based on Global Feature

Guiying Yan, Yongan Sun, Qi Wang, 2020 .

Novel human lncRNA-disease association inference based on lncRNA expression profiles

Xing Chen, Guiying Yan, 2013, Bioinform..