10.1371/journal.pone.0208626.g001
Muhammad Asif
Muhammad
Asif
Hugo F. M. C. M. Martiniano
Hugo F. M. C. M.
Martiniano
Astrid M. Vicente
Astrid
M. Vicente
Francisco M. Couto
Francisco
M. Couto
Main components of the proposed methodology to predict disease genes.
Public Library of Science
2018
Gene Ontology
similarity
Attention Deficit Hyperactivity Disorder
RF
Autism Spectrum Disorder
73 novel ASD candidate genes
KNIME
ASD genes
disease genes
novel disease genes
core ASD phenotypes
ADHD
AUC
2018-12-10 18:45:18
Figure
https://plos.figshare.com/articles/figure/Main_components_of_the_proposed_methodology_to_predict_disease_genes_/7444856
<p>Functional similarities are computed for a given set of genes. Different machine learning methods are applied to functional similarity matrices to define rules that discriminate disease genes from non-disease genes. Two evaluation approaches, namely stratified and held-out restricted stratified five-fold cross-validation are used.</p>