Cargando…
Identifying set-wise differential co-expression in gene expression microarray data
BACKGROUND: Previous differential coexpression analyses focused on identification of differentially coexpressed gene pairs, revealing many insightful biological hypotheses. However, this method could not detect coexpression relationships between pairs of gene sets. Considering the success of many se...
Autores principales: | Cho, Sung Bum, Kim, Jihun, Kim, Ju Han |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2679020/ https://www.ncbi.nlm.nih.gov/pubmed/19371436 http://dx.doi.org/10.1186/1471-2105-10-109 |
Ejemplares similares
-
Mixture-model based estimation of gene expression variance from public database improves identification of differentially expressed genes in small sized microarray data
por: Kim, Mingoo, et al.
Publicado: (2010) -
OpWise: Operons aid the identification of differentially expressed genes in bacterial microarray experiments
por: Price, Morgan N, et al.
Publicado: (2006) -
Discovering Pair-wise Synergies in Microarray Data
por: Chen, Yuan, et al.
Publicado: (2016) -
ArrayXPath II: mapping and visualizing microarray gene-expression data with biomedical ontologies and integrated biological pathway resources using Scalable Vector Graphics
por: Chung, Hee-Joon, et al.
Publicado: (2005) -
Microarray data analysis to identify differentially expressed genes and biological pathways associated with asthma
por: Qi, Shanshan, et al.
Publicado: (2018)