Computer learning of GFP-tagged proteins.
In the latest issue of the Journal of Cell Biology, the Andrews lab acquired >1.2 million confocal micrographs of EGFP fusion proteins localized at key cell organelles in murine and human cells from which morphology and statistical features were measured. Machine learning algorithms they developed that use these features to permit automated assignment of the localization of other proteins and dyes in both cell types with higher accuracy than human observers enabled the Andrews lab to study the targeting motifs in tail-anchored membrane proteins.
