Cargando…
Exploiting Identifiability and Intergene Correlation for Improved Detection of Differential Expression
Accurate differential analysis of microarray data strongly depends on effective treatment of intergene correlation. Such dependence is ordinarily accounted for in terms of its effect on significance cutoffs. In this paper, it is shown that correlation can, in fact, be exploited to share information...
Autores principales: | Deller, J. R., Radha, Hayder, McCormick, J. Justin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393076/ https://www.ncbi.nlm.nih.gov/pubmed/25937946 http://dx.doi.org/10.1155/2013/404717 |
Ejemplares similares
-
Nonlinear Dependence in the Discovery of Differentially Expressed Genes
por: Deller, J. R., et al.
Publicado: (2012) -
IntergenicDB: a database for intergenic sequences
por: Notari, Daniel Luis, et al.
Publicado: (2014) -
Detecting intergene correlation changes in microarray analysis: a new approach to gene selection
por: Hu, Rui, et al.
Publicado: (2009) -
Would government compensation of living kidney donors exploit the poor? An empirical analysis
por: Held, Philip J., et al.
Publicado: (2018) -
Negative Correlation between Expression Level and Evolutionary Rate of Long Intergenic Noncoding RNAs
por: Managadze, David, et al.
Publicado: (2011)