Before revision:  In this work, we attempt to evaluate the biases provided by those graphs through utilizing them for ' Single Gene Inference' (SGI) which serves as, what we believe is, a proxy for more relevant prediction tasks. The SGI task assesses how well a gene's neighbors in a particular graph can 'explain' the gene itself in comparison to the baseline of using all the genes in the dataset. We evaluate seven major gene interaction graphs created by different research groups on two distinct datasets, TCGA and GTEx .
After revision:  In this work, we attempt to evaluate the biases provided by those graphs through utilizing them for ' Single Gene Inference' tasks .