Cargando…
Functional assessment of time course microarray data
MOTIVATION: Time-course microarray experiments study the progress of gene expression along time across one or several experimental conditions. Most developed analysis methods focus on the clustering or the differential expression analysis of genes and do not integrate functional information. The ass...
Autores principales: | Nueda, María José, Sebastián, Patricia, Tarazona, Sonia, García-García, Francisco, Dopazo, Joaquín, Ferrer, Alberto, Conesa, Ana |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2697656/ https://www.ncbi.nlm.nih.gov/pubmed/19534758 http://dx.doi.org/10.1186/1471-2105-10-S6-S9 |
Ejemplares similares
-
Pathway network inference from gene expression data
por: Ponzoni, Ignacio, et al.
Publicado: (2014) -
Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series
por: Nueda, María José, et al.
Publicado: (2014) -
Serial Expression Analysis: a web tool for the analysis of serial gene expression data
por: Nueda, Maria José, et al.
Publicado: (2010) -
Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package
por: Tarazona, Sonia, et al.
Publicado: (2015) -
Identification and visualization of differential isoform expression in RNA-seq time series
por: Nueda, María José, et al.
Publicado: (2018)