Sentence examples for many microarray samples from inspiring English sources

It has been demonstrated that gene coexpression analysis using too many microarray samples could result in the loss of information.

Motivation: The small number of samples in many microarray experiments is a challenge for the correct identification of differentially expressed gens (DEGs) by conventional statistical means.

Certain decisions as to how many microarray slides will be used and which mRNA samples will be hybridized to each slide must be made in preparation of mRNA samples before carrying out a microarray experiment [ 6, 7].

Many microarray studies, however, are performed with fewer than five samples in each group due to high-cost limitation or scarcity of biological source materials.

Microarray samples are an amalgam of cell types from many distinct anatomical substructures.

In addition, many microarray studies do not match the MAQC platform quality, experimentation expertise and relative high signal-to-noise ratios of the samples compared, and would thus generate data of yet poorer reliability.

Additional file 1: Quality control processing of lesional (PP) and uninvolved (PN) skin microarray samples.

Multidimensional scaling (MDS) plot for microarray samples.

SV performed microarray samples preparation and hybridization.

This method requires data from many microarray experiments (several hundreds).

RIP-chip violates important assumptions of many microarray analysis methods.