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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...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2006
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| Materias: | |
| 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 |