Statistical tests for differential expression in cDNA microarray experiments
The simplest statistical method for extracting biological information from microarray data is the t test. Analysis of variance (ANOVA) and the mixed ANOVA model are general and powerful approaches for more complex microarray experiments.
Main Authors: | Cui, Xiangqin, Churchill, Gary A |
---|---|
Format: | Online |
Language: | English |
Published: |
BioMed Central
2003
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC154570/ |
Similar Items
-
Sources of nonlinearity in cDNA microarray expression measurements
by: Ramdas, Latha, et al.
Published: (2001) -
Normal uniform mixture differential gene expression detection for cDNA microarrays
by: Dean, Nema, et al.
Published: (2005) -
Model selection and efficiency testing for normalization of cDNA microarray data
by: Futschik, Matthias, et al.
Published: (2004) -
Identification of Differentially Expressed IGFBP5-Related Genes in Breast Cancer Tumor Tissues Using cDNA Microarray Experiments
by: Akkiprik, Mustafa, et al.
Published: (2015) -
Application of cDNA microarray in halal research
by: Salleh, Faqihah, et al.
Published: (2015)