Supporting Information S1 - A Multi-Label Classifier for Predicting the Subcellular Localization of Gram-Negative Bacterial Proteins with Both Single and Multiple Sites
收藏Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/A_Multi_Label_Classifier_for_Predicting_the_Subcellular_Localization_of_Gram_Negative_Bacterial_Proteins_with_Both_Single_and_Multiple_Sites/135841
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This benchmark dataset includes 1,456 locative protein sequences (1,392 different proteins), classified into 8 Gram-negative subcellular locations. Among the 1,392 different proteins, 1,328 belong to one location; and 64 to two locations. Both the accession numbers and sequences are given. None of the proteins has ≥25% sequence identity to any other in the same subset (subcellular location). See the text of the paper for further explanation. (PDF)
创建时间:
2015-12-02



