Cargando…
Texture analysis in gel electrophoresis images using an integrative kernel-based approach
Texture information could be used in proteomics to improve the quality of the image analysis of proteins separated on a gel. In order to evaluate the best technique to identify relevant textures, we use several different kernel-based machine learning techniques to classify proteins in 2-DE images in...
Autores principales: | Fernandez-Lozano, Carlos, Seoane, Jose A., Gestal, Marcos, Gaunt, Tom R., Dorado, Julian, Pazos, Alejandro, Campbell, Colin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4713050/ https://www.ncbi.nlm.nih.gov/pubmed/26758643 http://dx.doi.org/10.1038/srep19256 |
Ejemplares similares
-
A methodology for the design of experiments in computational intelligence with multiple regression models
por: Fernandez-Lozano, Carlos, et al.
Publicado: (2016) -
Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning
por: Munteanu, Cristian R., et al.
Publicado: (2019) -
Band-collision gel electrophoresis
por: Bikos, Dimitri A., et al.
Publicado: (2019) -
A pathway-based data integration framework for prediction of disease progression
por: Seoane, José A., et al.
Publicado: (2014) -
Carotenoids modulate kernel texture in maize by influencing amyloplast envelope integrity
por: Wang, Haihai, et al.
Publicado: (2020)