Evaluating convolutional neural networks and transformer architectures for image-based prediction of protein localization in eukaryotic cells

Background: Accurate prediction of protein subcellular localization is critical for understanding protein function and guiding experimental research. Recent advances in deep learning have enabled high-throughput image-based methods to tackle this problem by leveraging large-scale immunofluorescence...

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