Genome-wide prediction and prioritization of human aging genes by data fusion: A machine learning approach

Machine 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).