Efficient and Interpretable Prediction of Protein Functional Classes by Correspondence Analysis and Compact Set Relations

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...

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Bibliographic Details
Main Authors: Chang, Jia-Ming, Taly, Jean-Francois, Erb, Ionas, Sung, Ting-Yi, Hsu, Wen-Lian, Tang, Chuan Yi, Notredame, Cedric, Su, Emily Chia-Yu
Format: Online
Language:English
Published: Public Library of Science 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795737/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795737/

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