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New MFCAMNet predicts miRNA-disease links via cascade attention
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BIOENGINEER.ORGNew MFCAMNet predicts miRNA-disease links via cascade attention
A team of computer scientists in Xi’an, China, has developed a deep learning model that predicts which microRNAs are linked to which human diseases with markedly higher accuracy than existing methods, potentially accelerating the search for disease mechanisms and new therapeutic targets without a single wet-lab experiment. The model, called MFCAMNet, short for Multi-Feature fusion […]
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