Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2016, Article ID 7639397, 9 pages
http://dx.doi.org/10.1155/2016/7639397
Research Article

An Approach for Predicting Essential Genes Using Multiple Homology Mapping and Machine Learning Algorithms

1Center of Bioinformatics, School of Life Science and Technology, Key Laboratory for Neuroinformation of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China
2Center of Information in Biomedicine, University of Electronic Science and Technology of China, Chengdu, China

Received 30 May 2016; Revised 25 July 2016; Accepted 4 August 2016

Academic Editor: Yungang Xu

Copyright © 2016 Hong-Li Hua et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

The Supplementary material lists detailed information of main results of this work in PDF document format, including accuracy scores of 10-fold cross-validation, the evolutionary distance of ESC toward other 24 species and F-scores of 24 features of ESC, AUC scores of interspecies prediction obtained through SVM and Geptop method respectively, the feature ranks of organism ACA acquired through SVM and Geptop method respectively, as well as phylogenetic tree for the selected 25 organisms.

  1. Supplementary Material