Title : ( A two stage learning method for protein-protein interaction prediction )
Authors: Amir Ahooye Atashin , Parsa Bagherzadeh , Kamaledin Ghiasi Shirazi ,
دانلود فایل برای اعضای دانشگاهAccess to full-text not allowed by authors
Abstract
In this paper, a new method for PPI (proteinprotein interaction) prediction is proposed. In PPI prediction, a reliable and sufficient number of training samples is not available, but a large number of unlabeled samples is in hand. In the proposed method, the denoising autoencoders are employed for learning robust features. The obtained robust features are used in order to train a classifier with a better performance. The experimental results demonstrate the capabilities of the proposed method.
Keywords
, Protein, protein interaction; Denoising autoencoder; Robust features; Unlabelled data;
@inproceedings{paperid:1057426,
author = {Ahooye Atashin, Amir and Bagherzadeh, Parsa and Ghiasi Shirazi, Kamaledin},
title = {A two stage learning method for protein-protein interaction prediction},
booktitle = {1st international conference on new research achievements in electrical & computer engineering},
year = {2016},
location = {Tehran, IRAN},
keywords = {Protein-protein interaction; Denoising autoencoder; Robust features; Unlabelled data;},
}
%0 Conference Proceedings
%T A two stage learning method for protein-protein interaction prediction
%A Ahooye Atashin, Amir
%A Bagherzadeh, Parsa
%A Ghiasi Shirazi, Kamaledin
%J 1st international conference on new research achievements in electrical & computer engineering
%D 2016
