Approaches based on tree-structures classifiers to protein fold prediction

Approaches based on tree-structures classifiers to protein fold prediction

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. === Protein fold recognition is an important task in the biological area. Different machine learning methods such as multiclass classifiers, one-vs-all...

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Bibliographic Details
Main Authors: Mauricio-Sanchez, David, de Andrade Lopes, Alneu, higuihara Juarez Pedro Nelson
Format: Others
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:
Learning systems
Protein folding
Proteins
Trees (mathematics)
Benchmark datasets
Hierarchical approach
Machine learning methods
Multi-class classifier
Nested dichotomies
Protein fold recognition
Supervised methods
Tree structures
Online Access:http://hdl.handle.net/10757/622536

Internet

http://hdl.handle.net/10757/622536

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