Background: The location of proteins in a cell can provide important clues to their functions
in various biological processes. Thus, the application of machine learning method in the
prediction of protein subcellular localization has become a hotspot in bioinformatics. As one of
key organelles, the Golgi apparatus is in charge of protein storage, package, and distribution.
Objective: The identification of protein location in Golgi apparatus will provide in-depth insights
into their functions. Thus, the machine learning-based method of predicting protein location in
Golgi apparatus has been extensively explored. The development of protein sub-Golgi apparatus
localization prediction should be reviewed for providing a whole background for the fields.
Method: The benchmark dataset, feature extraction, machine learning method and published
results were summarized.
Results: We briefly introduced the recent progresses in protein sub-Golgi apparatus localization
prediction using machine learning methods and discussed their advantages and disadvantages.
Conclusion: We pointed out the perspective of machine learning methods in protein sub-Golgi