Cargando…
Combining gene expression data from different generations of oligonucleotide arrays
BACKGROUND: One of the important challenges in microarray analysis is to take full advantage of previously accumulated data, both from one's own laboratory and from public repositories. Through a comparative analysis on a variety of datasets, a more comprehensive view of the underlying mechanis...
Autores principales: | Hwang, Kyu-Baek, Kong, Sek Won, Greenberg, Steve A, Park, Peter J |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2004
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC528726/ https://www.ncbi.nlm.nih.gov/pubmed/15504239 http://dx.doi.org/10.1186/1471-2105-5-159 |
Ejemplares similares
-
The Rice Oligonucleotide Array Database: an atlas of rice gene expression
por: Cao, Peijian, et al.
Publicado: (2012) -
How to decide? Different methods of calculating gene expression from short oligonucleotide array data will give different results
por: Millenaar, Frank F, et al.
Publicado: (2006) -
Correction of Spatial Bias in Oligonucleotide Array Data
por: Serhal, Philippe, et al.
Publicado: (2013) -
A high performance test of differential gene expression for oligonucleotide arrays
por: Lemon, William J, et al.
Publicado: (2003) -
Gene expression profiling of single cells on large-scale oligonucleotide arrays
por: Hartmann, Claudia H., et al.
Publicado: (2006)