Cargando…
Classification based on extensions of LS-PLS using logistic regression: application to clinical and multiple genomic data
BACKGROUND: To address high-dimensional genomic data, most of the proposed prediction methods make use of genomic data alone without considering clinical data, which are often available and known to have predictive value. Recent studies suggest that combining clinical and genomic information may imp...
Autores principales: | Bazzoli, Caroline, Lambert-Lacroix, Sophie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127926/ https://www.ncbi.nlm.nih.gov/pubmed/30189832 http://dx.doi.org/10.1186/s12859-018-2311-2 |
Ejemplares similares
-
Feature selection using distributions of orthogonal PLS regression vectors in spectral data
por: Lee, Geonseok, et al.
Publicado: (2021) -
Overlapping Group Logistic Regression with Applications to Genetic Pathway Selection
por: Zeng, Yaohui, et al.
Publicado: (2016) -
Mixed logistic regression in genome-wide association studies
por: Milet, Jacqueline, et al.
Publicado: (2020) -
Logistic regression in estimates of femoral neck fracture by fall
por: Wendlová, Jaroslava
Publicado: (2010) -
Validation and updating of risk models based on multinomial logistic regression
por: Van Calster, Ben, et al.
Publicado: (2017)