<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Karnik, Shreyas</style></author><author><style face="normal" font="default" size="100%">Mitra, Joydeep</style></author><author><style face="normal" font="default" size="100%">Singh, Arunima</style></author><author><style face="normal" font="default" size="100%">Kulkarni, B. D.</style></author><author><style face="normal" font="default" size="100%">Sundarajan, V.</style></author><author><style face="normal" font="default" size="100%">Jayaraman, Valadi K.</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Chaudhury, S.</style></author><author><style face="normal" font="default" size="100%">Mitra, S.</style></author><author><style face="normal" font="default" size="100%">Murthy, C. A.</style></author><author><style face="normal" font="default" size="100%">Sastry, P. S.</style></author><author><style face="normal" font="default" size="100%">Pal, S. K.</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Identification of N-glycosylation sites with sequence and structural features employing random forests</style></title><secondary-title><style face="normal" font="default" size="100%">Pattern Recognition and Machine Intelligence, Proceedings</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">DEC</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">ISI Kolkata</style></publisher><pub-location><style face="normal" font="default" size="100%">HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY</style></pub-location><volume><style face="normal" font="default" size="100%">5909</style></volume><pages><style face="normal" font="default" size="100%">146-151</style></pages><isbn><style face="normal" font="default" size="100%">978-3-642-11163-1</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;N-Glycosylation plays a very important role in various processes like quality control of proteins produced in ER, transport of proteins and in disease control. The experimental elucidation of N-Glycosylation sites is expensive and laborious process. In this work we build models for identification of potential N-Glycosylation sites in proteins based on sequence and structural features. The best model has cross validation accuracy rate of 72.81%.&lt;/p&gt;</style></abstract><notes><style face="normal" font="default" size="100%">3rd International Conference on Pattern Recognition and Machine Intelligence, IIT Delhi, New Delhi, INDIA, DEC 16-20, 2009</style></notes><custom3><style face="normal" font="default" size="100%">Foreign</style></custom3><custom4><style face="normal" font="default" size="100%">2.607</style></custom4></record></records></xml>