An SVM method using evolutionary information for the identification of allergenic proteins.(Prediction Model)(support vector machine ): An article from: Bioinformation
Book Details
ISBN / ASINB0026IUK04
ISBN-13978B0026IUK02
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States 🇺🇸
Description
This digital document is an article from Bioinformation, published by Biomedical Informatics Publishing Group on January 1, 2008. The length of the article is 2067 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: Keywords: allergenic proteins; evolutionary information; PSSM; amino-acid composition; dipeptide composition; SVM
Citation Details
Title: An SVM method using evolutionary information for the identification of allergenic proteins.(Prediction Model)(support vector machine )
Author: Kandaswamy Krishna Kumar
Publication:Bioinformation (Magazine/Journal)
Date: January 1, 2008
Publisher: Biomedical Informatics Publishing Group
Page: 253(4)
Distributed by Gale, a part of Cengage Learning
From the author: Keywords: allergenic proteins; evolutionary information; PSSM; amino-acid composition; dipeptide composition; SVM
Citation Details
Title: An SVM method using evolutionary information for the identification of allergenic proteins.(Prediction Model)(support vector machine )
Author: Kandaswamy Krishna Kumar
Publication:Bioinformation (Magazine/Journal)
Date: January 1, 2008
Publisher: Biomedical Informatics Publishing Group
Page: 253(4)
Distributed by Gale, a part of Cengage Learning
