BMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completion

BMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completion

Abstract Background Human Microbiome Project reveals the significant mutualistic influence between human body and microbes living in it. Such an influence lead to an interesting phenomenon that many noninfectious diseases are closely associated with diverse microbes. However, the identification of m...

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Bibliographic Details
Main Authors: Jian-Yu Shi, Hua Huang, Yan-Ning Zhang, Jiang-Bo Cao, Siu-Ming Yiu
Format: Article
Language:English
Published: BMC 2018-08-01
Series:BMC Bioinformatics
Subjects:
Microbe-disease association
Matrix completion
Prediction
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12859-018-2274-3

Internet

http://link.springer.com/article/10.1186/s12859-018-2274-3

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