MDAKRLS: Predicting human microbe-disease association based on Kronecker regularized least squares and similarities.

ABSTRACT:

Background

Microbes are closely related to human health and diseases. Identification of disease-related microbes is of great significance for revealing the pathological mechanism of human diseases and understanding the interaction mechanisms between microbes and humans, which is also useful for the prevention, diagnosis and treatment of human diseases. Considering the known disease-related microbes are still insufficient, it is necessary to develop effective computational methods and reduce the time and cost of biological experiments.

Methods

In this work, we developed a novel computational method called MDAKRLS to discover potential microbe-disease associations (MDAs) based on the Kronecker regularized least squares. Specifically, we introduced the Hamming interaction profi

SUBMITTER: Xu D 

PROVIDER: S-EPMC7881563 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature