Predicting Cellular Protein localization Sites on Ecoli
نویسندگان
چکیده
منابع مشابه
Better Prediction of Protein Cellular Localization Sites
We have compared four classiiers on the problem of predicting the cellular localization sites of proteins in yeast and E.coli. A set of sequence derived features, such as regions of high hydrophobicity, were used for each classiier. The methods compared were a struc-tured probabilistic model speciically designed for the localization problem, the k nearest neighbors classi-er, the binary decisio...
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Chemoinformatics, the brain child of Frank Brown [1], has now evolved into a new branch of science, which has high correlations with computer science, bioinformatics, and chemistry. The major functionalities of Chemoinformatics include, but not limited to, chemical structure/property prediction, molecular similarity/diversity analysis, virtual screening, qualitative/quantitative structural/acti...
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We have defined a simple model of classification which combines human provided expert knowledge with probabilistic reasoning. We have developed software to implement this model and have applied it to the problem of classifying proteins into their various cellular localization sites based on their amino acid sequences. Since our system requires no hand tuning to learn training data, we can now e...
متن کاملA Probabilistic Classi cation System for Predicting the Cellular Localization Sites of Proteins
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2018
ISSN: 0975-8887
DOI: 10.5120/ijca2018917723