ششمین کنفرانس داه کاوی ایران , 2012-12-18

Title : ( Classification of protein-protein interactions in human red blood cells based on protein physicochemical properties )

Authors: afsaneh maali , Mahmood Akhavan Mahdavi , REZA GHeshlaghi ,

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A new feature was introduced and implemented to reconstruct a feature vector in support vector machine (SVM) method to classify protein–protein interactions (PPIs) in human red blood cells (RBCs). The feature is based on the physicochemical properties of protein amino acids and requires merely the amino acid sequences of the proteins for the analysis. The accuracy of %3.87 was obtained for classification method that is comparable to similar classifications with more dimensional features. The reasonable accuracy indicated that this feature is suitable for classification of protein-protein interaction information on red blood cell proteins using support vector machine.

Keywords

, Protein-protein interaction, red blood cell, support vector machine, physicochemical properties of
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@inproceedings{paperid:1032265,
author = {Maali, Afsaneh and Akhavan Mahdavi, Mahmood and GHeshlaghi, REZA},
title = {Classification of protein-protein interactions in human red blood cells based on protein physicochemical properties},
booktitle = {ششمین کنفرانس داه کاوی ایران},
year = {2012},
location = {تهران, IRAN},
keywords = {Protein-protein interaction; red blood cell; support vector machine; physicochemical properties of proteins},
}

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%0 Conference Proceedings
%T Classification of protein-protein interactions in human red blood cells based on protein physicochemical properties
%A Maali, Afsaneh
%A Akhavan Mahdavi, Mahmood
%A GHeshlaghi, REZA
%J ششمین کنفرانس داه کاوی ایران
%D 2012

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