Cargando…
A temporal precedence based clustering method for gene expression microarray data
BACKGROUND: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in microarray data analysis where the data is grouped together according to certain characteristics. The majority of clusteri...
Autores principales: | Krishna, Ritesh, Li, Chang-Tsun, Buchanan-Wollaston, Vicky |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2841598/ https://www.ncbi.nlm.nih.gov/pubmed/20113513 http://dx.doi.org/10.1186/1471-2105-11-68 |
Ejemplares similares
-
Listen to Genes: Dealing with Microarray Data in the Frequency Domain
por: Feng, Jianfeng, et al.
Publicado: (2009) -
Bayesian Functional Data Clustering for Temporal Microarray Data
por: Ma, Ping, et al.
Publicado: (2008) -
Model-based cluster analysis of microarray gene-expression data
por: Pan, Wei, et al.
Publicado: (2002) -
Cluster-Rasch models for microarray gene expression data
por: Li, Hongzhe, et al.
Publicado: (2001) -
A comparison of four clustering methods for brain expression microarray data
por: Richards, Alexander L, et al.
Publicado: (2008)