Cargando…
Combining transcriptional datasets using the generalized singular value decomposition
BACKGROUND: Both microarrays and quantitative real-time PCR are convenient tools for studying the transcriptional levels of genes. The former is preferable for large scale studies while the latter is a more targeted technique. Because of platform-dependent systematic effects, simple comparisons or m...
Autores principales: | Schreiber, Andreas W, Shirley, Neil J, Burton, Rachel A, Fincher, Geoffrey B |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2562393/ https://www.ncbi.nlm.nih.gov/pubmed/18687147 http://dx.doi.org/10.1186/1471-2105-9-335 |
Ejemplares similares
-
Pathway level analysis of gene expression using singular value decomposition
por: Tomfohr, John, et al.
Publicado: (2005) -
Multi-view singular value decomposition for disease subtyping and genetic associations
por: Sun, Jiangwen, et al.
Publicado: (2014) -
Mapping gene expression quantitative trait loci by singular value decomposition and independent component analysis
por: Biswas, Shameek, et al.
Publicado: (2008) -
A high performance prediction of HPV genotypes by Chaos game representation and singular value decomposition
por: Tanchotsrinon, Watcharaporn, et al.
Publicado: (2015) -
Unfolding with Singular Value Decomposition
por: Kartvelishvili, V
Publicado: (2011)