Cargando…
Extracting binary signals from microarray time-course data
This article presents a new method for analyzing microarray time courses by identifying genes that undergo abrupt transitions in expression level, and the time at which the transitions occur. The algorithm matches the sequence of expression levels for each gene against temporal patterns having one o...
Autores principales: | Sahoo, Debashis, Dill, David L., Tibshirani, Rob, Plevritis, Sylvia K. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1920252/ https://www.ncbi.nlm.nih.gov/pubmed/17517782 http://dx.doi.org/10.1093/nar/gkm284 |
Ejemplares similares
-
Boolean implication networks derived from large scale, whole genome microarray datasets
por: Sahoo, Debashis, et al.
Publicado: (2008) -
Pancancer analysis of DNA methylation-driven genes using MethylMix
por: Gevaert, Olivier, et al.
Publicado: (2015) -
Inference of sigma factor controlled networks by using numerical modeling applied to microarray time series data of the germinating prokaryote
por: Strakova, Eva, et al.
Publicado: (2014) -
Discovering Biological Progression Underlying Microarray Samples
por: Qiu, Peng, et al.
Publicado: (2011) -
Topology-based cancer classification and related pathway mining using microarray data
por: Liu, Chun-Chi, et al.
Publicado: (2006)