Predicting the Subcellular Localization of Human Proteins Using Machine Learning and Exploratory Data Analysis

Identifying the subcellular localization of proteins is particularly helpful in the functional annotation of gene products. In this study, we use Machine Learning and Exploratory Data Analysis (EDA) techniques to examine and characterize amino acid sequences of human proteins localized in nine cellu...

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Detalles Bibliográficos
Autores principales: Acquaah-Mensah, George K., Leach, Sonia M., Guda, Chittibabu
Formato: Texto
Lenguaje:English
Publicado: Elsevier 2006
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2709537/
https://www.ncbi.nlm.nih.gov/pubmed/16970551
http://dx.doi.org/10.1016/S1672-0229(06)60023-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2709537/
https://www.ncbi.nlm.nih.gov/pubmed/16970551
http://dx.doi.org/10.1016/S1672-0229(06)60023-5

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