Cargando…
Transition Dependency: A Gene-Gene Interaction Measure for Times Series Microarray Data
Gene-Gene dependency plays a very important role in system biology as it pertains to the crucial understanding of different biological mechanisms. Time-course microarray data provides a new platform useful to reveal the dynamic mechanism of gene-gene dependencies. Existing interaction measures are m...
Autores principales: | Gao, Xin, Pu, Daniel Q, Song, Peter X-K |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171430/ https://www.ncbi.nlm.nih.gov/pubmed/19223963 http://dx.doi.org/10.1155/2009/535869 |
Ejemplares similares
-
Gene classification for microarray data with multiple time measurements
por: Quiton, Jonathan, et al.
Publicado: (2008) -
Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements
por: Cooke, Emma J, et al.
Publicado: (2011) -
Discovering monotonic stemness marker genes from time-series stem cell microarray data
por: Wang, Hsei-Wei, et al.
Publicado: (2015) -
Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments
por: Gao, Xin, et al.
Publicado: (2005) -
In search of functional association from time-series microarray data based on the change trend and level of gene expression
por: He, Feng, et al.
Publicado: (2006)