Association·nasa
Normalization is critical for accurate microarray analysis
Claim that appropriate normalization methods are essential for reducing bias and variance in microarray data, enabling reliable differential gene expression analysis.
Confidence
80%
active
Evidence Quote
“Normalization methods are critical to microarray analysis”
Relationship
Microarray normalization methods enables limma linear models
Evidence
“Reference for normalization of cDNA microarray data (Methods 2003)”
Smyth GK & Speed T (2003). Normalization of cDNA microarray data
“Reference comparing normalization methods for high-density oligonucleotide arrays (Bioinformatics 2003)”
Bolstad BM et al. (2003). A comparison of normalization methods for high density oligonucleotide array data based on variance and bias