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Going from where to why—interpretable prediction of protein subcellular localization

Motivation: Protein subcellular localization is pivotal in understanding a protein's function. Computational prediction of subcellular localization has become a viable alternative to experimental approaches. While current machine learning-based methods yield good prediction accuracy, most of th...

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Detalles Bibliográficos
Autores principales: Briesemeister, Sebastian, Rahnenführer, Jörg, Kohlbacher, Oliver
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859129/
https://www.ncbi.nlm.nih.gov/pubmed/20299325
http://dx.doi.org/10.1093/bioinformatics/btq115