Cargando…
Ridge regression estimated linear probability model predictions of O-glycosylation in proteins with structural and sequence data
BACKGROUND: To-date, no claim regarding finding a consensus sequon for O-glycosylation has been made. Thus, predicting the likelihood of O-glycosylation with sequence and structural information using classical regression analysis is quite difficult. In particular, if a binary response is used to dis...
Autores principales: | Gana, Rajaram, Vasudevan, Sona |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599295/ https://www.ncbi.nlm.nih.gov/pubmed/31253080 http://dx.doi.org/10.1186/s12860-019-0200-9 |
Ejemplares similares
-
A New Ridge-Type Estimator for the Linear Regression Model: Simulations and Applications
por: Kibria, B. M. Golam, et al.
Publicado: (2020) -
Two-Parameter Modified Ridge-Type M-Estimator for Linear Regression Model
por: Lukman, Adewale F., et al.
Publicado: (2020) -
Theory of ridge regression estimation with applications
por: Saleh, A K Md Ehsanes, et al.
Publicado: (2019) -
Structural and functional studies of S-adenosyl-L-methionine binding proteins: a ligand-centric approach
por: Gana, Rajaram, et al.
Publicado: (2013) -
RidgeRace: ridge regression for continuous ancestral character estimation on phylogenetic trees
por: Kratsch, Christina, et al.
Publicado: (2014)