Although various platform comparison studies have been reported for microarray-based expression profiling, as yet a comprehensive platform comparison for genomic profiling, including an adequate statistical power analysis, has not been reported.
17 Systematic evaluations of transcriptome normalization methods have been reported for both microarrays 18 and RNA-seq19; however, evaluations using large numbers of sample groups are needed in order to determine which normalization method is most appropriate for covariance network inference.
Several studies using DNA microarray have been reported for profiling differential gene expression among normal human and mouse organs, but very little information is available for the rat [ 2- 6].
A limited gene expression profile has been reported for PAR1 activation by thrombin using cDNA microarray analysis, with 65 genes induced in HMEC-1 cells [40], enabling some comparison between PAR2 and PAR1 activation on gene expression.
Differences in gene expression, as determined by microarray analysis, have been reported for fetal versus aged skin [ 14].
Comprehensive evaluation of seed transcripts through microarray analyses have been reported for Arabidopsis [ 34], Medicago truncatula [ 4, 38], barley [ 5, 41], and wheat [ 40].
To date, the development of embryo-specific gene-expression microarrays has only been reported for cattle [ 14].
Some other tissues have been only rarely studied despite their known physiological importance: only four microarray studies are reported for pineal gland, 19 for the hypophysis.
The number of microarray chip samples used is reported for each system type.
The number of microarray chip samples used is reported for each cancer type.
