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SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.
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引用本文的文献

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Golgi_DF: Golgi proteins classification with deep forest.
Front Neurosci. 2023 May 12;17:1197824. doi: 10.3389/fnins.2023.1197824. eCollection 2023.
2
A GHKNN model based on the physicochemical property extraction method to identify SNARE proteins.
Front Genet. 2022 Nov 23;13:935717. doi: 10.3389/fgene.2022.935717. eCollection 2022.
3
SNARE-CNN: a 2D convolutional neural network architecture to identify SNARE proteins from high-throughput sequencing data.
PeerJ Comput Sci. 2019 Feb 25;5:e177. doi: 10.7717/peerj-cs.177. eCollection 2019.
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Identifying SNAREs by Incorporating Deep Learning Architecture and Amino Acid Embedding Representation.
Front Physiol. 2019 Dec 10;10:1501. doi: 10.3389/fphys.2019.01501. eCollection 2019.
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A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features.
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7
Multi-label multi-kernel transfer learning for human protein subcellular localization.
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Gene ontology based transfer learning for protein subcellular localization.
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Amino acid classification based spectrum kernel fusion for protein subnuclear localization.
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本文引用的文献

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Membrane lipids: where they are and how they behave.
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Ensembl 2008.
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A review of feature selection techniques in bioinformatics.
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WoLF PSORT: protein localization predictor.
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Predicting protein-protein interactions based only on sequences information.
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Evaluation and comparison of mammalian subcellular localization prediction methods.
BMC Bioinformatics. 2006 Dec 18;7 Suppl 5(Suppl 5):S3. doi: 10.1186/1471-2105-7-S5-S3.
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Synthetic glycobiology: Exploits in the Golgi compartment.
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