Cargando…
Assessing Significance in High-Throughput Experiments by Sequential Goodness of Fit and q-Value Estimation
We developed a new multiple hypothesis testing adjustment called SGoF+ implemented as a sequential goodness of fit metatest which is a modification of a previous algorithm, SGoF, taking advantage of the information of the distribution of p-values in order to fix the rejection region. The new method...
Autores principales: | Carvajal-Rodriguez, Antonio, de Uña-Alvarez, Jacobo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3170371/ https://www.ncbi.nlm.nih.gov/pubmed/21931819 http://dx.doi.org/10.1371/journal.pone.0024700 |
Ejemplares similares
-
‘SGoFicance Trace’: Assessing Significance in High Dimensional Testing Problems
por: de Uña-Alvarez, Jacobo, et al.
Publicado: (2010) -
A new multitest correction (SGoF) that increases its statistical power when increasing the number of tests
por: Carvajal-Rodríguez, Antonio, et al.
Publicado: (2009) -
Sequential stopping for high-throughput experiments
por: Rossell, David, et al.
Publicado: (2013) -
Goodness of fit
por: Sravanti, Lakshmi
Publicado: (2017) -
Goodness-of-Fit Tests and Nonparametric Adaptive Estimation for Spike Train Analysis
por: Reynaud-Bouret, Patricia, et al.
Publicado: (2014)