Identification of human microRNA-disease association via hypergraph embedded bipartite local model

Identification of Drug–Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion

(2020) Yijie Ding et al.   KNOWLEDGE-BASED SYSTEMS

Incorporating Distance-based Top-n-gram and Random Forest to Identify Electron Transport Proteins

(2019) Xiaoqing Ru et al.   JOURNAL OF PROTEOME RESEARCH

Application of Machine Learning in Microbiology

(2019) Kaiyang Qu et al.   Frontiers in Microbiology

Integrating Bipartite Network Projection and KATZ Measure to Identify Novel CircRNA-Disease Associations

(2019) Qi Zhao et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

Prediction of potential disease-associated microRNAs using structural perturbation method

(2018) Xiangxiang Zeng et al.   BIOINFORMATICS

O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique

(2018) Cangzhi Jia et al.   BIOINFORMATICS

Prediction of human protein subcellular localization using deep learning

(2018) Leyi Wei et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks

(2018) Jiawei Luo et al.   NEUROCOMPUTING

EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction

(2018) Xing Chen et al.   Cell Death & Disease

Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species

(2018) Leyi Wei et al.   BIOINFORMATICS

FKL-Spa-LapRLS: an accurate method for identifying human microRNA-disease association

(2018) Limin Jiang et al.   BMC GENOMICS

Identification of drug-side effect association via multiple information integration with centered kernel alignment

(2018) Yijie Ding et al.   NEUROCOMPUTING

Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA

(2018) Quan Zou et al.   RNA

Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning

(2018) Yijie Ding et al.   IEEE Journal of Biomedical and Health Informatics

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

(2017) Jiawei Luo et al.   JOURNAL OF BIOMEDICAL INFORMATICS

GIMDA: Graphlet interaction-based MiRNA-disease association prediction

(2017) Xing Chen et al.   JOURNAL OF CELLULAR AND MOLECULAR MEDICINE

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

(2017) Xing Chen et al.   Molecular BioSystems

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

(2017) Xing Chen et al.   RNA Biology

PRMDA: personalized recommendation-based MiRNA-disease association prediction

(2017) Zhu-Hong You et al.   Oncotarget

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

(2017) Qi Zhao et al.   Oncotarget

MCMDA: Matrix completion for MiRNA-disease association prediction

(2017) Jian-Qiang Li et al.   Oncotarget

Improved low-rank matrix recovery method for predicting miRNA-disease association

(2017) Li Peng et al.   Scientific Reports

LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction

(2017) Xing Chen et al.   PLoS Computational Biology

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

(2017) Zhu-Hong You et al.   PLoS Computational Biology

Superposition Spinal Codes with Unequal Error Protection Property

(2017) Xiaopu Yu et al.   IEEE Access

A deep ensemble model to predict miRNA-disease association

(2017) Laiyi Fu et al.   Scientific Reports

Predicting protein-protein interactions via multivariate mutual information of protein sequences

(2016) Yijie Ding et al.   BMC BIOINFORMATICS

HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction

(2016) Xing Chen et al.   Oncotarget

WBSMDA: Within and Between Score for MiRNA-Disease Association prediction

(2016) Xing Chen et al.   Scientific Reports

Prediction of miRNA-disease associations with a vector space model

(2016) Claude Pasquier et al.   Scientific Reports

Network Consistency Projection for Human miRNA-Disease Associations Inference

(2016) Changlong Gu et al.   Scientific Reports

DISMIRA: Prioritization of disease candidates in miRNA-disease associations based on maximum weighted matching inference model and motif-based analysis

(2015) Joseph J Nalluri et al.   BMC GENOMICS

RBMMMDA: predicting multiple types of disease-microRNA associations

(2015) Xing Chen et al.   Scientific Reports

Identifying human microRNA–disease associations by a new diffusion-based method

(2015) Bo Liao et al.   Journal of Bioinformatics and Computational Biology

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

(2014) Xing Chen et al.   Scientific Reports

Walking the interactome to identify human miRNA-disease associations through the functional link between miRNA targets and disease genes

(2013) Hongbo Shi et al.   BMC Systems Biology

Predicting human microRNA-disease associations based on support vector machine

(2013) Qinghua Jiang et al.   International Journal of Data Mining and Bioinformatics

Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors

(2013) Ping Xuan et al.   PLoS One

RWRMDA: predicting novel human microRNA–disease associations

(2012) Xing Chen et al.   Molecular BioSystems

Gaussian interaction profile kernels for predicting drug–target interaction

(2011) Twan van Laarhoven et al.   BIOINFORMATICS

Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases

(2010) Dong Wang et al.   BIOINFORMATICS

Supervised prediction of drug–target interactions using bipartite local models

(2009) Kevin Bleakley et al.   BIOINFORMATICS