Cargando…
A multivariate prediction model for microarray cross-hybridization
BACKGROUND: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental problem of potential cross-hybridization. This is a pervasive problem for both oligonucleotide and cDNA microarrays; it is cons...
Autores principales: | Chen, Yian A, Chou, Cheng-Chung, Lu, Xinghua, Slate, Elizabeth H, Peck, Konan, Xu, Wenying, Voit, Eberhard O, Almeida, Jonas S |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1409802/ https://www.ncbi.nlm.nih.gov/pubmed/16509965 http://dx.doi.org/10.1186/1471-2105-7-101 |
Ejemplares similares
-
Design of microarray probes for virus identification and detection of emerging viruses at the genus level
por: Chou, Cheng-Chung, et al.
Publicado: (2006) -
Inference of dynamic interaction networks: A comparison between Lotka-Volterra and multivariate autoregressive models
por: Olivença, Daniel V., et al.
Publicado: (2022) -
Priming nonlinear searches for pathway identification
por: Veflingstad, Siren R, et al.
Publicado: (2004) -
Multivariate curve resolution of time course microarray data
por: Wentzell, Peter D, et al.
Publicado: (2006) -
Multivariate Genomic Hybrid Prediction with Kernels and Parental Information
por: Montesinos-López, Osval A., et al.
Publicado: (2023)