A novel method for predicting disease-associated lncRNA-mIRNA pairs based on the higher-order orthogonal iteration

DOI10.1155/2019/7614850zbMath1423.92128DBLPjournals/cmmm/XuanFYPZZW19OpenAlexW2943030817WikidataQ64969464 ScholiaQ64969464MaRDI QIDQ2003681

Haochen Zhao, Jingwen Yu, Zhanwei Xuan, Xianyou Zhu, Pengyao Ping, Lei Wang, Xiang Feng

Publication date: 9 July 2019

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/7614850

zbMATH Keywords

orthogonal iterationdisease-associated microRNA-long noncoding RNA pairs

Mathematics Subject Classification ID

Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Uses Software

• starBase

Cites Work

• A novel model for predicting associations between diseases and lncRNA-miRNA pairs based on a newly constructed bipartite network
• A Multilinear Singular Value Decomposition
• On the Best Rank-1 and Rank-(R₁ ,R₂ ,. . .,R_N) Approximation of Higher-Order Tensors
• Learning the parts of objects by non-negative matrix factorization

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