Fusion of KATZ measure and space projection to fast probe potential lncRNA-disease associations in bipartite graphs.

ABSTRACT: It is well known that numerous long noncoding RNAs (lncRNAs) closely relate to the physiological and pathological processes of human diseases and can serves as potential biomarkers. Therefore, lncRNA-disease associations that are identified by computational methods as the targeted candidates reduce the cost of biological experiments focusing on deep study furtherly. However, inaccurate construction of similarity networks and inadequate numbers of observed known lncRNA-disease associations, such inherent problems make many mature computational methods that have been developed for many years still exit some limitations. It motivates us to explore a new computational method that was fused with KATZ measure and space projection to fast probing potential lncRNA-disease associations (namely KATZ

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC8608294 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature