The Importance of Multi Feature Extraction and Fusion for Prediction of Protein Subcellular Localization
Author:
Affiliation:
1. School of Computer and Information Engineering, Qilu Institute of Technology,Jinan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10405420/10405394/10405400.pdf?arnumber=10405400
Reference10 articles.
1. Predicting subcellular localization of multi-label proteins by incorporating the sequence features into Chou's PseAAC
2. Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations
3. Virus-mPLoc: A Fusion Classifier for Viral Protein Subcellular Location Prediction by Incorporating Multiple Sites
4. Virus-mPLoc: A Fusion Classifier for Viral Protein Subcellular Location Prediction by Incorporating Multiple Sites
5. Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms
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