ALSBMF: Predicting lncRNA-Disease Associations by Alternating Least Squares Based on Matrix Factorization

ALSBMF: Predicting lncRNA-Disease Associations by Alternating Least Squares Based on Matrix Factorization

In recent years, it has been increasingly clear that long non-coding RNAs (lncRNAs) are able to regulate their target genes at multi-levels, including transcriptional level, translational level, etc and play key regulatory roles in many important biological processes, such as cell differentiation, c...

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Bibliographic Details
Main Authors: Wen Zhu, Kaimei Huang, Xiaofang Xiao, Bo Liao, Yuhua Yao, Fang-Xiang Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Alternating least squares
disease similarity
lncRNA similarity
leave-one-out cross validation
matrix factorization
ROC curve
Online Access:https://ieeexplore.ieee.org/document/8976420/

Internet

https://ieeexplore.ieee.org/document/8976420/

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