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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Detalles Bibliográficos
Autores principales: Chang, Jia-Ming, Taly, Jean-Francois, Erb, Ionas, Sung, Ting-Yi, Hsu, Wen-Lian, Tang, Chuan Yi, Notredame, Cedric, Su, Emily Chia-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795737/
https://www.ncbi.nlm.nih.gov/pubmed/24146760
http://dx.doi.org/10.1371/journal.pone.0075542

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795737/
https://www.ncbi.nlm.nih.gov/pubmed/24146760
http://dx.doi.org/10.1371/journal.pone.0075542

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