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Bioimage-based protein subcellular location prediction: a comprehensive review., , and . Frontiers Comput. Sci., 12 (1): 26-39 (2018)Enhancing the Prediction of Transmembrane β-Barrel Segments with Chain Learning and Feature Sparse Representation., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 13 (6): 1016-1026 (2016)Automated identification of protein expression intensity and classification of protein cellular locations in mouse brain regions from immunofluorescence images., , , and . Medical Biol. Eng. Comput., 62 (4): 1105-1119 (April 2024)Learning protein subcellular localization multi-view patterns from heterogeneous data of imaging, sequence and networks., , , and . Briefings Bioinform., (2022)Deep Learning-Based Classification of Protein Subcellular Localization from Immunohistochemistry Images., , , and . ACPR, page 599-604. IEEE Computer Society, (2017)Automated Classification of Protein Subcellular Location Patterns on Images of Human Reproductive Tissues., , and . IScIDE, volume 7751 of Lecture Notes in Computer Science, page 254-262. Springer, (2012)Bioimaging-based detection of mislocalized proteins in human cancers by semi-supervised learning., , , and . Bioinform., 31 (7): 1111-1119 (2015)GraphLoc: a graph neural network model for predicting protein subcellular localization from immunohistochemistry images., , , and . Bioinform., 38 (21): 4941-4948 (October 2022)DULoc: quantitatively unmixing protein subcellular location patterns in immunofluorescence images based on deep learning features., , , and . Bioinform., 38 (3): 827-833 (2022)Incorporating organelle correlations into semi-supervised learning for protein subcellular localization prediction., , and . Bioinform., 32 (14): 2184-2192 (2016)