(D ) Gene ontology (GO) analysis of upregulated transcripts in set1 and clr3 mutant gene expression microarrays.
Gene expression microarrays are powerful tools for simultaneously screening the transcriptional profile for thousands of genes across different treatments.
RNA amplified by Nugen kit was hybridized on Affymetrix MOE 430 2.0 mouse gene expression microarrays.
Background: Interpretation of gene expression microarrays requires a mapping from probe set to gene.
RNA-Seq and gene expression microarrays provide comprehensive profiles of gene activity, but lack of reproducibility has hindered their application.
Gene expression microarrays can reveal insights into disease biology and identify novel biomarkers.
Gene expression microarrays are now established as a standard tool in biological and biochemical laboratories.
Current normalization methods for gene expression microarrays and RNA-Seq, because of a lack-of-variation assumption, likely remove and distort variation in gene expression.
We present a new software implementation to more efficiently compute the mutual information for all pairs of genes from gene expression microarrays.
On many Affymetrix gene expression microarrays, a given gene may be detected by multiple probe sets, which may deliver inconsistent or even contradictory measurements.
Following this, total RNA was extracted from these cells and deep sequencing was performed, in parallel with gene expression microarrays.
