Cargando…
Prediction of protein secondary structures with a novel kernel density estimation based classifier
BACKGROUND: Though prediction of protein secondary structures has been an active research issue in bioinformatics for quite a few years and many approaches have been proposed, a new challenge emerges as the sizes of contemporary protein structure databases continue to grow rapidly. The new challenge...
Autores principales: | Chang, Darby Tien-Hao, Ou, Yu-Yen, Hung, Hao-Geng, Yang, Meng-Han, Chen, Chien-Yu, Oyang, Yen-Jen |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2527571/ https://www.ncbi.nlm.nih.gov/pubmed/18710504 http://dx.doi.org/10.1186/1756-0500-1-51 |
Ejemplares similares
-
Predicting microRNA precursors with a generalized Gaussian components based density estimation algorithm
por: Hsieh, Chih-Hung, et al.
Publicado: (2010) -
Using a kernel density estimation based classifier to predict species-specific microRNA precursors
por: Chang, Darby Tien-Hao, et al.
Publicado: (2008) -
VariantClassifier: A hierarchical variant classifier for annotated genomes
por: Li, Kelvin, et al.
Publicado: (2010) -
Application of density estimation algorithms in analyzing co-morbidities of migraine
por: Yang, Meng-Han, et al.
Publicado: (2013) -
One-Step Method in Creation of Artificial Ascites
por: Chou, Tienshin, et al.
Publicado: (2022)