A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations.
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SRMDAP: SimRank and Density-Based Clustering Recommender Model for miRNA-Disease Association Prediction.MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association predictionHuman Microbe-Disease Association Prediction With Graph Regularized Non-Negative Matrix Factorization
P2860
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations.
description
2017 nî lūn-bûn
@nan
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
2017年论文
@zh
2017年论文
@zh-cn
name
A graph regularized non-negati ...... microRNA-disease associations.
@en
A graph regularized non-negati ...... microRNA-disease associations.
@nl
type
label
A graph regularized non-negati ...... microRNA-disease associations.
@en
A graph regularized non-negati ...... microRNA-disease associations.
@nl
prefLabel
A graph regularized non-negati ...... microRNA-disease associations.
@en
A graph regularized non-negati ...... microRNA-disease associations.
@nl
P2093
P2860
P356
P1433
P1476
A graph regularized non-negati ...... microRNA-disease associations.
@en
P2093
Cheng Liang
Jiawei Luo
Pingjian Ding
P2860
P356
10.1093/BIOINFORMATICS/BTX545
P407
P577
2017-09-01T00:00:00Z