Cargando…
CoXpress: differential co-expression in gene expression data
BACKGROUND: Traditional methods of analysing gene expression data often include a statistical test to find differentially expressed genes, or use of a clustering algorithm to find groups of genes that behave similarly across a dataset. However, these methods may miss groups of genes which form diffe...
Autor principal: | Watson, Michael |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1660556/ https://www.ncbi.nlm.nih.gov/pubmed/17116249 http://dx.doi.org/10.1186/1471-2105-7-509 |
Ejemplares similares
-
deltaXpress (ΔXpress): a tool for mapping differentially correlated genes using single-cell qPCR data
por: Murillo Carrasco, Alexis Germán, et al.
Publicado: (2023) -
PlotXpress, a webtool for normalization and visualization of reporter expression data
por: Brandorff, Elias, et al.
Publicado: (2021) -
Clust: automatic extraction of optimal co-expressed gene clusters from gene expression data
por: Abu-Jamous, Basel, et al.
Publicado: (2018) -
transXpress: a Snakemake pipeline for streamlined de novo transcriptome assembly and annotation
por: Fallon, Timothy R., et al.
Publicado: (2023) -
multiWGCNA: an R package for deep mining gene co-expression networks in multi-trait expression data
por: Tommasini, Dario, et al.
Publicado: (2023)