Efficient and Interpretable Prediction of Protein Functional Classes by Correspondence Analysis and Compact Set Relations
Predicting protein functional classes such as localization sites and modifications plays a crucial role in function annotation. Given a tremendous amount of sequence data yielded from high-throughput sequencing experiments, the need of efficient and interpretable prediction strategies has been rapid...
| Main Authors: | , , , , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Public Library of Science
2013
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795737/ |