Layered Approach for Predicting Protein Subcellular Localization in Yeast Microarray Data

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Provided by: Creative Commons
Topic: Data Management
Format: PDF
Subcellular localization is a well-designed representation of proteins. The authors need a fully automatic and reliable prediction system for protein subcellular localization, especially for the analysis of large-scale of yeast microarray data. In this paper, they consider the dataset with multi classes and propose the classification for each location of protein subcellular in a separate layer. In this paper, a multi-classification approach for subcellular localization is designed and developed to achieve high efficiency and improve the prediction and classification accuracy.
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