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Novel Collaborative Weighted Non-negative Matrix Factorization Improves Prediction of Disease-Associated Human Microbes
2022
Frontiers in Microbiology
Extensive clinical and biomedical studies have shown that microbiome plays a prominent role in human health. Identifying potential microbe–disease associations (MDAs) can help reveal the pathological mechanism of human diseases and be useful for the prevention, diagnosis, and treatment of human diseases. Therefore, it is necessary to develop effective computational models and reduce the cost and time of biological experiments. Here, we developed a novel machine learning-based joint framework
doi:10.3389/fmicb.2022.834982
pmid:35369503
pmcid:PMC8965656
fatcat:lgleyp3vwzh47c6r5wia35tc3a