Fig. 1From: Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learningGenome-wide prediction of Alzheimer-associated genes. Our prediction was based on machine learning methods that are trained upon the already associated AD genes, which are already linked to AD at various levels of evidence (C1AD-C4AD), as a positive training set, and other genes excluded from the OMIM database (C5) as a negative training set. Combining these with the human brain-specific gene network, we were able to build an evidence-weighted, network-based classifier, and predict the probability of the association between each gene and AD across the genomeBack to article page