Cargando…
Multi-dimensional correlations for gene coexpression and application to the large-scale data of Arabidopsis
Background: Recent improvements in DNA microarray techniques have made a large variety of gene expression data available in public databases. This data can be used to evaluate the strength of gene coexpression by calculating the correlation of expression patterns among different genes between many e...
Autores principales: | Kinoshita, Kengo, Obayashi, Takeshi |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2759550/ https://www.ncbi.nlm.nih.gov/pubmed/19620096 http://dx.doi.org/10.1093/bioinformatics/btp442 |
Ejemplares similares
-
ATTED-II provides coexpressed gene networks for Arabidopsis
por: Obayashi, Takeshi, et al.
Publicado: (2009) -
Rank of Correlation Coefficient as a Comparable Measure for Biological Significance of Gene Coexpression
por: Obayashi, Takeshi, et al.
Publicado: (2009) -
ATTED-II Updates: Condition-Specific Gene Coexpression to Extend Coexpression Analyses and Applications to a Broad Range of Flowering Plants
por: Obayashi, Takeshi, et al.
Publicado: (2011) -
COXPRESdb: a database to compare gene coexpression in seven model animals
por: Obayashi, Takeshi, et al.
Publicado: (2011) -
ALCOdb: Gene Coexpression Database for Microalgae
por: Aoki, Yuichi, et al.
Publicado: (2016)