Cargando…
Evaluation of Gene Expression Classification Studies: Factors Associated with Classification Performance
Classification methods used in microarray studies for gene expression are diverse in the way they deal with the underlying complexity of the data, as well as in the technique used to build the classification model. The MAQC II study on cancer classification problems has found that performance was af...
Autores principales: | Novianti, Putri W., Roes, Kit C. B., Eijkemans, Marinus J. C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4000205/ https://www.ncbi.nlm.nih.gov/pubmed/24770439 http://dx.doi.org/10.1371/journal.pone.0096063 |
Ejemplares similares
-
Factors affecting the accuracy of a class prediction model in gene expression data
por: Novianti, Putri W., et al.
Publicado: (2015) -
Meta-analysis approach as a gene selection method in class prediction: does it improve model performance? A case study in acute myeloid leukemia
por: Novianti, Putri W., et al.
Publicado: (2017) -
An Application of Sequential Meta-Analysis to Gene Expression Studies
por: Novianti, Putri W, et al.
Publicado: (2015) -
Outlier classification performance of risk adjustment methods when profiling multiple providers
por: Brakenhoff, Timo B., et al.
Publicado: (2018) -
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
por: Zhao, Xin, et al.
Publicado: (2007)