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A Bidirectional Label Propagation Based Computational Model for Potential Microbe-Disease Association Prediction
Discussion There are numerous microbial communities inhabited in the human body, which is critical to human health. The relationship between human microbiome and diseases received much attention from both medical and bioinformatics community recently. However, traditional methods to detect their association is costly and labor-intensive. Thus, we proposed here a new computational model called NBLPIHMDA to infer potential microbe-disease associations. NBLPIHMDA first combined known microbe-disease associations in HMDAD and the Gaussian interaction profile kernel similarity to construct disease similarity network and microb...
Source: Frontiers in Microbiology - April 8, 2019 Category: Microbiology Source Type: research