Prediction of RIFIN proteins with gene orientation network indices

¹ RNASA-IMEDIR, Computer Science Faculty, University of A Coruña, 15071, A Coruña, Spain
² Universidad Estatal Amazónica
³ Dept. of Organic Chemistry II, University of the Basque Country UPV/EHU, 48940, Leioa, Biscay, Spain

Published: 23 January 2018 by MDPI in MOL2NET'17, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 3rd ed. congress USEDAT-03: USA-EU Data Analysis Training Prog. Work., Cambridge, UK-Bilbao, Spain-Duluth, USA, 2017

https://doi.org/10.3390/mol2net-03-05124

Abstract:

Gene orientation may have a direct influence on the expression of genes. In this work, we developed a Linear Discriminant Analysis (LDA) model able to predict RIFIN-like proteins of out of 5365 of Plasmodium falciparum proteins with Sensitivity and Specificity 70-80% in training and external validation series.

Keywords: Malaria; Plasmodium sp. proteome; Chromosome microstructure; Gene orientation; Complex Networks; Machine Learning

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