Cargando…
A genetic approach for building different alphabets for peptide and protein classification
BACKGROUND: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task is performed by a multi-classifier system where each classifier (Linear or Radial Basis function Support Vector Machines)...
Autores principales: | Nanni, Loris, Lumini, Alessandra |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246158/ https://www.ncbi.nlm.nih.gov/pubmed/18218100 http://dx.doi.org/10.1186/1471-2105-9-45 |
Ejemplares similares
-
An Empirical Study of Different Approaches for Protein Classification
por: Nanni, Loris, et al.
Publicado: (2014) -
Comparison of Different Image Data Augmentation Approaches
por: Nanni, Loris, et al.
Publicado: (2021) -
Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification
por: Nanni, Loris, et al.
Publicado: (2015) -
Experiments of Image Classification Using Dissimilarity Spaces Built with Siamese Networks
por: Nanni, Loris, et al.
Publicado: (2021) -
A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies
por: Nanni, Loris, et al.
Publicado: (2023)