Reliability of plastid and mitochondrial localisation prediction declines rapidly with the evolutionary distance to the training set increasing
Fig 1
Targeting prediction algorithms are frequently cited across disciplines and rely on a limited training set.
(a) Taxonomic distribution of plastid and mitochondrial training datasets used for the three commonly used predictions tools TargetP, Localizer and WoLF PSORT (WPS). (b) Distribution of citations across different disciplines for the three commonly used predictions tools TargetP, Localizer and WoLF PSORT (WPS) and for a time period ranging from 2018 until 2022. Numbers according to the Web of Science.