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Prediction of RIFIN proteins with gene orientation network indices
Viviana Quevedo 1 , Bernabé Ortega-Tenezaca 2 , Julio César Vargas-Burgos 2 , Alejandro Pazos-Sierra 1 , Humbert González-Díaz 3

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 AG in Proceedings of MOL2NET 2017, International Conference on Multidisciplinary Sciences, 3rd edition in MOL2NET 2017, International Conference on Multidisciplinary Sciences, 3rd edition
MDPI AG, 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: expression of genes, external validation, gene orientation, lda, model able to predict, predict RIFIN, Prediction, RIFIN proteins

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