Cargando…
Effective Automated Feature Construction and Selection for Classification of Biological Sequences
BACKGROUND: Many open problems in bioinformatics involve elucidating underlying functional signals in biological sequences. DNA sequences, in particular, are characterized by rich architectures in which functional signals are increasingly found to combine local and distal interactions at the nucleot...
Autores principales: | Kamath, Uday, De Jong, Kenneth, Shehu, Amarda |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4102475/ https://www.ncbi.nlm.nih.gov/pubmed/25033270 http://dx.doi.org/10.1371/journal.pone.0099982 |
Ejemplares similares
-
Deep learning improves antimicrobial peptide recognition
por: Veltri, Daniel, et al.
Publicado: (2018) -
Evaluating Autoencoder-Based Featurization and Supervised Learning for Protein Decoy Selection
por: Alam, Fardina Fathmiul, et al.
Publicado: (2020) -
Exploring representations of protein structure for automated remote homology detection and mapping of protein structure space
por: Molloy, Kevin, et al.
Publicado: (2014) -
From Extraction of Local Structures of Protein Energy Landscapes to Improved Decoy Selection in Template-Free Protein Structure Prediction
por: Akhter, Nasrin, et al.
Publicado: (2018) -
Effective Feature Selection for Classification of Promoter Sequences
por: K., Kouser, et al.
Publicado: (2016)