• MCHMDA:Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion

    1 month ago - By IEEE/ACM

    With the development of high-through sequencing technology and microbiology, many studies have evidenced that microbes are associated with human diseases, such as obesity, liver cancer, and so on. Therefore, identifying the association between microbes and diseases has become an important study topic in current bioinformatics. The emergence of microbe-disease association database has provided an unprecedented opportunity to develop computational method for predicting microbe-disease associations. In the study, we propose a low-rank matrix completion method to predict microbe-disease...
    Read more ...