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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)

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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 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)Deep Learning-Based Classification of Protein Subcellular Localization from Immunohistochemistry Images., , , and . ACPR, page 599-604. IEEE Computer Society, (2017)DULoc: quantitatively unmixing protein subcellular location patterns in immunofluorescence images based on deep learning features., , , and . Bioinform., 38 (3): 827-833 (2022)GraphLoc: a graph neural network model for predicting protein subcellular localization from immunohistochemistry images., , , and . Bioinform., 38 (21): 4941-4948 (October 2022)Outage performance of secure cooperative systems over correlated Rayleigh fading channels., and . WOCC, page 1-5. IEEE, (2016)An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 15 (3): 828-838 (2018)Internet-Based Urban Bus Travelling Data Acquisition and Missing Data Recovery., , , , and . MSN, page 343-347. IEEE Computer Society, (2016)Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers., , , , and . BMC Bioinform., 23 (1): 470 (2022)Improving quantitative prediction of protein subcellular locations in fluorescence images through deep generative models., , , , , , , and . Comput. Biol. Medicine, (2024)