Azadifar S

No ORCID on file · 1 paper in corpus
2022
A novel candidate disease gene prioritization method using deep graph convolutional networks and semi-supervised learning.
BMC bioinformatics ·doi:10.1186/s12859-022-04954-x

BackgroundSelecting and prioritizing candidate disease genes is necessary before conducting laboratory studies as identifying disease genes from a large number of candidate genes using laboratory methods, is a very costly and time-consuming…