Normalization strategies for cDNA microarrays

cDNA Microarray Data Normalization

Supervised normalization of microarrays

MOTIVATION A major challenge in utilizing microarray technologies to measure nucleic acid abundances is 'normalization', the goal of which is to separate biologically meaningful signal from other confounding sources of signal, often due to unavoidable technical factors. It is intuitively clear that true biological signal and confounding factors need to be simultaneously considered when performi...

Fabrication of cDNA microarrays.

NORMALIZATION OF cDNA LIBRARIES

In a cellular transcriptome, the number of mRNA copies per gene may differ by several orders. In cDNA libraries, performed from mRNA, these proportions are the same. Normalization methods allow us to equalize numbers of gene’s copies in the library. Normalized cDNA libraries are used to discover new genes transcribed at relatively low levels or for functional screenings. Here, we observed diffe...

Noise factor analysis for cDNA microarrays.

A microarray-image model is used that takes into account many factors, including spot morphology, signal strength, background fluorescent noise, and shape and surface degradation. The model yields synthetic images whose appearance and quality reflect that of real microarray images. The model is used to link noise factors to the fidelity of signal extraction with respect to a standard image-extr...