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Result details for the transfer to S. cerevisiae.

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Result_details_for_the_transfer_to_S_cerevisiae_/724405
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10-fold cross validation results of the RFF (Random-Forest-Filter) trained with different feature sets, the InParanoid ortholog filter and the sequence similarity filter for different experimental settings. Interactions are transferred from all eukaryotic species with interaction data to S. cerevisiae.For each experimental setting and feature set the area under precision recall curve (AUPRC) and the area under the receiver operating characteristic curve (AUROC) are computed. From the individual feature sets the RFF trained with the GO and Network feature set perform best for the AllI and GenI setting. Whereas for physical interactions the performance for the Network features are lower than for the GO and Ortholog feature set.
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2015-12-02
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