A new human population genomics study leverages family relatedness to identify and characterize homozygous loss-of-function mutations, with implications for interpreting disease-associated genetic ...
In recent years, the use of computer algorithms for identifying specific objects within images, called “image segmentation,” has become popular in medical image analysis, helping doctors diagnose ...
In a novel study, researchers from the Icahn School of Medicine at Mount Sinai introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants across ...