相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。MicroRNA-small molecule association identification: from experimental results to computational models
Xing Chen et al.
BRIEFINGS IN BIOINFORMATICS (2020)
miRTarBase 2020: updates to the experimentally validated microRNA-target interaction database
Hsi-Yuan Huang et al.
NUCLEIC ACIDS RESEARCH (2020)
SNMFSMMA: using symmetric nonnegative matrix factorization and Kronecker regularized least squares to predict potential small molecule-microRNA association
Yan Zhao et al.
RNA BIOLOGY (2020)
DNRLMF-MDA:Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases
Cheng Yan et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2019)
EmDL: <bold><underline>E</underline></bold>xtracting <bold><underline>m</underline></bold>iRNA-<bold><underline>D</underline></bold>rug Interactions from <bold><underline>L</underline></bold>iterature
Wen-Bin Xie et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2019)
Dual Laplacian regularized matrix completion for microRNA-disease associations prediction
Chang Tang et al.
RNA BIOLOGY (2019)
Adaptive boosting-based computational model for predicting potential miRNA-disease associations
Yan Zhao et al.
BIOINFORMATICS (2019)
Ensemble of decision tree reveals potential miRNA-disease associations
Xing Chen et al.
PLOS COMPUTATIONAL BIOLOGY (2019)
MCLPMDA: A novel method for miRNA-disease association prediction based on matrix completion and label propagation
Sheng-Peng Yu et al.
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE (2019)
HMDD v3.0: a database for experimentally supported human microRNA-disease associations
Zhou Huang et al.
NUCLEIC ACIDS RESEARCH (2019)
MicroRNAs and complex diseases: from experimental results to computational models
Xing Chen et al.
BRIEFINGS IN BIOINFORMATICS (2019)
Dual-network sparse graph regularized matrix factorization for predicting miRNA-disease associations
Ming-Ming Gao et al.
MOLECULAR OMICS (2019)
Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities
Wei Lan et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2018)
Prediction of potential disease-associated microRNAs using structural perturbation method
Xiangxiang Zeng et al.
BIOINFORMATICS (2018)
BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction
Xing Chen et al.
BIOINFORMATICS (2018)
Predicting miRNA-disease association based on inductive matrix completion
Xing Chen et al.
BIOINFORMATICS (2018)
SACMDA: MiRNA-Disease Association Prediction with Short Acyclic Connections in Heterogeneous Graph
Biyao Shao et al.
NEUROINFORMATICS (2018)
Predict MiRNA-Disease Association with Collaborative Filtering
Yatong Jiang et al.
NEUROINFORMATICS (2018)
MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction
Xing Chen et al.
PLOS COMPUTATIONAL BIOLOGY (2018)
A Novel Computational Method for the Identification of Potential miRNA-Disease Association Based on Symmetric Non-negative Matrix Factorization and Kronecker Regularized Least Square
Yan Zhao et al.
FRONTIERS IN GENETICS (2018)
A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network
Yingli Zhong et al.
BIOINFORMATICS (2018)
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations
Qiu Xiao et al.
BIOINFORMATICS (2018)
Long non-coding RNAs and complex diseases: from experimental results to computational models
Xing Chen et al.
BRIEFINGS IN BIOINFORMATICS (2017)
dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers
Zhen Yang et al.
NUCLEIC ACIDS RESEARCH (2017)
Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization
Ali Ezzat et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2017)
A joint-L2,1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis
Jin-Xing Liu et al.
NEUROCOMPUTING (2017)
CSTEA: a webserver for the Cell State Transition Expression Atlas
Guanghui Zhu et al.
NUCLEIC ACIDS RESEARCH (2017)
HISP: a hybrid intelligent approach for identifying directed signaling pathways
Xing-Ming Zhao et al.
JOURNAL OF MOLECULAR CELL BIOLOGY (2017)
GEAR: A database of Genomic Elements Associated with drug Resistance
Yin-Ying Wang et al.
SCIENTIFIC REPORTS (2017)
LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction
Xing Chen et al.
PLOS COMPUTATIONAL BIOLOGY (2017)
Identifying drug-pathway association pairs based on L2,1-integrative penalized matrix decomposition
Jin-Xing Liu et al.
BMC SYSTEMS BIOLOGY (2017)
Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks
Xiangxiang Zeng et al.
BRIEFINGS IN BIOINFORMATICS (2016)
Identifying Disease Associated miRNAs Based on Protein Domains
Gui-Min Qin et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2016)
The exploration of network motifs as potential drug targets from post-translational regulatory networks
Xiao-Dong Zhang et al.
SCIENTIFIC REPORTS (2016)
Integrative analysis of mutational and transcriptional profiles reveals driver mutations of metastatic breast cancers
Ji-Hyun Lee et al.
CELL DISCOVERY (2016)
An NMF-L2,1-Norm Constraint Method for Characteristic Gene Selection
Dong Wang et al.
PLOS ONE (2016)
WBSMDA: Within and Between Score for MiRNA-Disease Association prediction
Xing Chen et al.
SCIENTIFIC REPORTS (2016)
Prediction of MicroRNA-Disease Associations Based on Social Network Analysis Methods
Quan Zou et al.
BIOMED RESEARCH INTERNATIONAL (2015)
Identifying cancer-related microRNAs based on gene expression data
Xing-Ming Zhao et al.
BIOINFORMATICS (2015)
Protein-driven inference of miRNA-disease associations
Soren Mork et al.
BIOINFORMATICS (2014)
HMDD v2.0: a database for experimentally supported human microRNA and disease associations
Yang Li et al.
NUCLEIC ACIDS RESEARCH (2014)
Walking the interactome to identify human miRNA-disease associations through the functional link between miRNA targets and disease genes
Hongbo Shi et al.
BMC SYSTEMS BIOLOGY (2013)
Mining Featured Patterns of MiRNA Interaction Based on Sequence and Structure Similarity
Qingfeng Chen et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2013)
Correction: Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors
Ping Xuan et al.
PLoS One (2013)
Breast cancer signatures for invasiveness and prognosis defined by deep sequencing of microRNA
Stefano Volinia et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2012)
Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent
Naiyang Guan et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2011)
Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases
Dong Wang et al.
BIOINFORMATICS (2010)
Matrix Completion With Noise
Emmanuel J. Candes et al.
PROCEEDINGS OF THE IEEE (2010)
Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection
Chun-Hou Zheng et al.
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2009)
Independent component analysis-based penalized discriminant method for tumor classification using gene expression data
De-Shuang Huang et al.
BIOINFORMATICS (2006)
MicroRNAs: Genomics, biogenesis, mechanism, and function
DP Bartel
CELL (2004)