RNMFMDA: A Microbe-Disease Association Identification Method Based on Reliable Negative Sample Selection and Logistic Matrix Factorization With Neighborhood Regularization

Microbes with abnormal levels have important impacts on the formation and development of various complex diseases. Identifying possible Microbe-Disease Associations (MDAs) helps to understand the mechanisms of complex diseases. However, experimental methods for MDA identification are costly and time...

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Detalles Bibliográficos
Autores principales: Peng, Lihong, Shen, Ling, Liao, Longjie, Liu, Guangyi, Zhou, Liqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652725/
https://www.ncbi.nlm.nih.gov/pubmed/33193260
http://dx.doi.org/10.3389/fmicb.2020.592430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652725/
https://www.ncbi.nlm.nih.gov/pubmed/33193260
http://dx.doi.org/10.3389/fmicb.2020.592430

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