کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
471170 | 698603 | 2008 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Applying sequential rules to protein localization prediction
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In this paper we present a new classifier based on sequential classification rules for protein localization prediction. We also present three compact representations for encoding, in a concise form, the knowledge available in a classification rule set. Experiments run on the Gram-bacteria data set show that the classifier achieves both high prediction and good recall. Furthermore, since rules can be easily interpreted, biologists can understand classification results. To further improve classification performance, an SVM classifier is used to process data not covered by means of the sequential rule classifier.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Mathematics with Applications - Volume 55, Issue 5, March 2008, Pages 867–878
Journal: Computers & Mathematics with Applications - Volume 55, Issue 5, March 2008, Pages 867–878
نویسندگان
Elena Baralis, Silvia Chiusano, Riccardo Dutto,