Prediction of potential disease-associated microRNAs based on random walk.
about
A review on machine learning principles for multi-view biological data integration.MCMDA: Matrix completion for MiRNA-disease association predictionDietary MicroRNA Database (DMD): An Archive Database and Analytic Tool for Food-Borne microRNAsPBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.Prediction of miRNA-disease associations with a vector space modelA path-based measurement for human miRNA functional similarities using miRNA-disease associations.A novel computational model based on super-disease and miRNA for potential miRNA-disease association prediction.RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction.Prediction of miRNA-disease Associations using an Evolutionary Tuned Latent Semantic Analysis.Computational prediction of human disease-related microRNAs by path-based random walk.A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations.EPMDA: an expression-profile based computational model for microRNA-disease association prediction.MicroRNAs and complex diseases: from experimental results to computational models.PRMDA: personalized recommendation-based MiRNA-disease association prediction.EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction.Constructing an integrated gene similarity network for the identification of disease genes.GIMDA: Graphlet interaction-based MiRNA-disease association prediction.LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction.A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network.TPGLDA: Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph.ELLPMDA: Ensemble Learning and Link Prediction for miRNA-Disease Association prediction.Global Similarity Method Based on a Two-tier Random Walk for the Prediction of microRNA-Disease Association.NDAMDA: Network distance analysis for MiRNA-disease association prediction.Prediction of microRNA-disease associations based on distance correlation set.Prediction of potential disease-associated microRNAs by composite network based inferenceMDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association predictionA Novel Computational Method for the Identification of Potential miRNA-Disease Association Based on Symmetric Non-negative Matrix Factorization and Kronecker Regularized Least SquareNovel Human miRNA-Disease Association Inference Based on Random Forest
P2860
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P2860
Prediction of potential disease-associated microRNAs based on random walk.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Prediction of potential disease-associated microRNAs based on random walk.
@en
type
label
Prediction of potential disease-associated microRNAs based on random walk.
@en
prefLabel
Prediction of potential disease-associated microRNAs based on random walk.
@en
P2093
P2860
P356
P1433
P1476
Prediction of potential disease-associated microRNAs based on random walk.
@en
P2093
Yahong Guo
Yingli Zhong
Zhaogong Zhang
P2860
P304
P356
10.1093/BIOINFORMATICS/BTV039
P407
P577
2015-01-23T00:00:00Z