Cargando…
Mining biological information from 3D short time-series gene expression data: the OPTricluster algorithm
BACKGROUND: Nowadays, it is possible to collect expression levels of a set of genes from a set of biological samples during a series of time points. Such data have three dimensions: gene-sample-time (GST). Thus they are called 3D microarray gene expression data. To take advantage of the 3D data coll...
Autores principales: | Tchagang, Alain B, Phan, Sieu, Famili, Fazel, Shearer, Heather, Fobert, Pierre, Huang, Yi, Zou, Jitao, Huang, Daiqing, Cutler, Adrian, Liu, Ziying, Pan, Youlian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376030/ https://www.ncbi.nlm.nih.gov/pubmed/22475802 http://dx.doi.org/10.1186/1471-2105-13-54 |
Ejemplares similares
-
GOAL: A software tool for assessing biological significance of genes groups
por: Tchagang, Alain B, et al.
Publicado: (2010) -
Computational selection of antibody-drug conjugate targets for breast cancer
por: Fauteux, François, et al.
Publicado: (2015) -
Probing the endosperm gene expression landscape in Brassica napus
por: Huang, Yi, et al.
Publicado: (2009) -
Extracting biologically significant patterns from short time series gene expression data
por: Tchagang, Alain B, et al.
Publicado: (2009) -
Enrichment of Triticum aestivum gene annotations using ortholog cliques and gene ontologies in other plants
por: Tulpan, Dan, et al.
Publicado: (2015)