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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 3 , Humbert González-Díaz 4
1  RNASA-IMEDIR, Computer Science Faculty, University of A Coruña, 15071, A Coruña, Spain,Universidad Estatal Amazónica
2  Universidad Estatal Amazónica
3  RNASA-IMEDIR, Computer Science Faculty, University of A Coruña, 15071, A Coruña, Spain
4  Dept. of Organic Chemistry II, University of the Basque Country UPV/EHU, 48940, Leioa, Biscay, Spain

Published: 23 January 2018 by MDPI AG in MOL2NET 2017, International Conference on Multidisciplinary Sciences, 3rd edition in MOL2NET 2017, International Conference on Multidisciplinary Sciences, 3rd edition session Computational Sciences, Statistics, Artificial Intelligence, Complex Networks, Machine Learning, and Big Data
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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