Boosting classifier for predicting protein domain structural class
نویسندگان
چکیده
منابع مشابه
Boosting classifier for predicting protein domain structural class.
A novel classifier, the so-called "LogitBoost" classifier, was introduced to predict the structural class of a protein domain according to its amino acid sequence. LogitBoost is featured by introducing a log-likelihood loss function to reduce the sensitivity to noise and outliers, as well as by performing classification via combining many weak classifiers together to build up a very strong and ...
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The protein structural class is considered as a multi-class classification. The feature of protein structure was extracted from the protein convex hull which was occupied from the geometrical approximation of protein structure. This multi-class classification is solved by Multi-NSVR(-S), which is constructed by our algorithm-NSVR. To overcome the difficulty of class imbalance in the data, the m...
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The structural class is an important feature in characterizing the overall topological folding type of a protein or the domains therein. Prediction of protein structural classification has attracted the attention and efforts from many investigators. In this paper a novel predictor, the AdaBoost Learner, was introduced to deal with this problem. The essence of the AdaBoost Learner is that a comb...
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ژورنال
عنوان ژورنال: Biochemical and Biophysical Research Communications
سال: 2005
ISSN: 0006-291X
DOI: 10.1016/j.bbrc.2005.06.075