MCMDA: Matrix completion for MiRNA-disease association prediction
about
Improved low-rank matrix recovery method for predicting miRNA-disease association.A potential role of microRNAs in protein accumulation in cellular senescence analyzed by bioinformatics.A novel approach for predicting microbe-disease associations by bi-random walk on the heterogeneous network.Computational prediction of human disease-related microRNAs by path-based random walk.A deep ensemble model to predict miRNA-disease association.EPMDA: an expression-profile based computational model for microRNA-disease association prediction.MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA-disease association prediction.PRMDA: personalized recommendation-based MiRNA-disease association prediction.Metformin ameliorates skeletal muscle insulin resistance by inhibiting miR-21 expression in a high-fat dietary rat model.EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction.GIMDA: Graphlet interaction-based MiRNA-disease association prediction.LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction.Predict the Relationship between Gene and Large Yellow Croaker's Economic Traits.SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction.Heterogeneity Analysis and Diagnosis of Complex Diseases Based on Deep Learning Method.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.GRMDA: Graph Regression for MiRNA-Disease Association Prediction.NDAMDA: Network distance analysis for MiRNA-disease association prediction.SRMDAP: SimRank and Density-Based Clustering Recommender Model for miRNA-Disease Association Prediction.MicroRNA and transcriptome analysis in periocular Sebaceous Gland Carcinoma.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
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MCMDA: Matrix completion for MiRNA-disease association prediction
description
2017 nî lūn-bûn
@nan
2017 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
MCMDA: Matrix completion for MiRNA-disease association prediction
@ast
MCMDA: Matrix completion for MiRNA-disease association prediction
@en
type
label
MCMDA: Matrix completion for MiRNA-disease association prediction
@ast
MCMDA: Matrix completion for MiRNA-disease association prediction
@en
prefLabel
MCMDA: Matrix completion for MiRNA-disease association prediction
@ast
MCMDA: Matrix completion for MiRNA-disease association prediction
@en
P2093
P2860
P356
P1433
P1476
MCMDA: Matrix completion for MiRNA-disease association prediction
@en
P2093
Gui-Ying Yan
Jian-Qiang Li
Zhi-Hao Rong
P2860
P304
21187-21199
P356
10.18632/ONCOTARGET.15061
P407
P50
P577
2017-02-03T00:00:00Z