Open Access<strong>Surveying Alignment-free Features for Ortholog Detection in Related Yeast Proteomes by using Supervised Big Data Classifiers</strong>
Author(s) -
Guillermı́n Agüero-Chapin,
Deborah Galpert Cañizares,
Alberto Fernández,
Francisco Herrera,
Agostinho Antunes,
Reinaldo Molina Ruiz
Publication year - 2018
Publication title -
proceedings of mol2net 2018, international conference on multidisciplinary sciences, 4th edition
Language(s) - English
Resource type - Conference proceedings
DOI - 10.3390/mol2net-04-05468
Subject(s) - pairwise comparison , computer science , benchmark (surveying) , proteome , artificial intelligence , similarity (geometry) , machine learning , point of delivery , computational biology , data mining , pattern recognition (psychology) , biology , bioinformatics , image (mathematics) , geodesy , agronomy , geography