Genome-wide prediction and prioritization of human aging genes by data fusion: a machine learning approach
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DOI: 10.1186/s12864-019-6140-0
Abstract: BackgroundMachine learning can effectively nominate novel genes for various research purposes in the laboratory. On a genome-wide scale, we implemented multiple databases and algorithms to predict and prioritize the human aging genes (PPHAGE).ResultsWe fused data… read more here.
Keywords: genome wide; human aging; aging genes; prioritization ... See more keywords