Cargando…
Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
BACKGROUND: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages compared to common gene-by-gene approaches. However, due to their exploratory nature, multivariate ordination methods do not...
Autores principales: | Baty, Florent, Jaeger, Daniel, Preiswerk, Frank, Schumacher, Martin M, Brutsche, Martin H |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2441634/ https://www.ncbi.nlm.nih.gov/pubmed/18570644 http://dx.doi.org/10.1186/1471-2105-9-289 |
Ejemplares similares
-
Analysis with respect to instrumental variables for the exploration of microarray data structures
por: Baty, Florent, et al.
Publicado: (2006) -
Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements
por: Cooke, Emma J, et al.
Publicado: (2011) -
Exploring the transcription factor activity in high-throughput gene expression data using RLQ analysis
por: Baty, Florent, et al.
Publicado: (2013) -
Optimized between-group classification: a new jackknife-based gene selection procedure for genome-wide expression data
por: Baty, Florent, et al.
Publicado: (2005) -
Multivariate curve resolution of time course microarray data
por: Wentzell, Peter D, et al.
Publicado: (2006)