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Prediction of RIFIN proteins with gene orientation network indices
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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
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
