Cargando…
Estimating the False Discovery Rate Using Mixed Normal Distribution for Identifying Differentially Expressed Genes in Microarray Data Analysis
The recent development of DNA microarray technology allows us to measure simultaneously the expression levels of thousands of genes and to identify truly correlated genes with anticancer drug response (differentially expressed genes) from many candidate genes. Significance Analysis of Microarray (SA...
Autores principales: | Hirakawa, Akihiro, Sato, Yasunori, Sozu, Takashi, Hamada, Chikuma, Yoshimura, Isao |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2675830/ https://www.ncbi.nlm.nih.gov/pubmed/19455258 |
Ejemplares similares
-
A New Test Statistic Based on Shrunken Sample Variance for Identifying Differentially Expressed Genes in Small Microarray Experiments
por: Hirakawa, Akihiro, et al.
Publicado: (2008) -
Gene Selection using a High-Dimensional Regression Model with Microarrays in Cancer Prognostic Studies
por: Kaneko, Shuhei, et al.
Publicado: (2012) -
A Comparison of Two Classes of Methods for Estimating False Discovery Rates in Microarray Studies
por: Hansen, Emily, et al.
Publicado: (2012) -
Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
por: Jain, Nitin, et al.
Publicado: (2005) -
Local false discovery rate facilitates comparison of different microarray experiments
por: Hong, Wan-Jen, et al.
Publicado: (2009)