Abstract: By using of the improved parameters with increment of diversity and scoring function to express the information of sequence, a support vector ...
Jun 20, 2011 · In this paper, we introduce two key improvements in predicting enzyme function within the machine learning framework. One is to introduce the ...
Based on enzyme sequence, using composite vectors with amino acid composition, low-frequency power spectral density, increment of diversity by combining a ...
Missing: improved parameters.
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Based on enzyme sequence, using composite vectors with amino acid composition, low-frequency power spectral density, increment of diversity by combining a.
Missing: improved parameters.
Jan 8, 2003 · Prediction of enzyme subclass by using support vector machine based on improved parameters. ... Subclasses by Using Support Vector Machine. 2011 ...
Jun 20, 2011 · In this paper, we introduce two key improvements in predicting enzyme function within the machine learning framework. One is to introduce the ...
4 days ago · I have a DOE results I would like to model with Support Vector Machine (there are strong non linear effects that can't be estimated with a ...
In this paper a model comprising of feature subset selection followed by multiclass Support Vector Machine is proposed to determine the functional class of a ...
Missing: parameters. | Show results with:parameters.
[6] X.Z.Hu, Ting Wang; Prediction of enzyme subclass by using support vector machine based on improved parameters, 2011 Seventh International Conference on ...
Jan 27, 2014 · Therefore, our prediction results show that plasminogen activators are predictable with a high accuracy from their primary sequence. Prediction ...