Fig. 2From: Identifying intragenic functional modules of genomic variations associated with cancer phenotypes by learning representation of association networksDescription of sub-approaches to learning representations of an association network. The first sub-approach is to use SkipGram, the other is to use global matrix factorizationBack to article page