@article { ISI:000278806800024,
	title = {Identification of N-glycosylation sites with sequence and structural features employing random forests},
	journal = {Pattern Recognition and Machine Intelligence, Proceedings},
	volume = {5909},
	year = {2009},
	note = {3rd International Conference on Pattern Recognition and Machine Intelligence, IIT Delhi, New Delhi, INDIA, DEC 16-20, 2009},
	month = {DEC},
	pages = {146-151},
	publisher = {ISI Kolkata},
	address = {HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY},
	abstract = {<p>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\%.</p>},
	isbn = {978-3-642-11163-1},
	issn = {0302-9743},
	author = {Karnik, Shreyas and Mitra, Joydeep and Singh, Arunima and Kulkarni, B. D. and Sundarajan, V. and Jayaraman, Valadi K.},
	editor = {Chaudhury, S. and Mitra, S. and Murthy, C. A. and Sastry, P. S. and Pal, S. K.}
}
