Cargando…
Multivariate curve resolution of time course microarray data
BACKGROUND: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), independent component analysis (ICA), or other methods. Such methods do not generally yield factors with a clear biologica...
Autores principales: | Wentzell, Peter D, Karakach, Tobias K, Roy, Sushmita, Martinez, M Juanita, Allen, Christopher P, Werner-Washburne, Margaret |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1539028/ https://www.ncbi.nlm.nih.gov/pubmed/16839419 http://dx.doi.org/10.1186/1471-2105-7-343 |
Ejemplares similares
-
Robust test method for time-course microarray experiments
por: Sohn, Insuk, et al.
Publicado: (2010) -
Hyperspectral microarray scanning: impact on the accuracy and reliability of gene expression data
por: Timlin, Jerilyn A, et al.
Publicado: (2005) -
Difference-based clustering of short time-course microarray data with replicates
por: Kim, Jihoon, et al.
Publicado: (2007) -
Multivariate analysis of microarray data: differential expression and differential connection
por: Kiiveri, Harri T
Publicado: (2011) -
A system for generating transcription regulatory networks with combinatorial control of transcription
por: Roy, Sushmita, et al.
Publicado: (2008)