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(Because they are a foreign body surgically implanted, microarrays such as the one used on Burkhart eventually kill off surrounding brain cells and stop working).
The gene-level expression estimates from Exon Arrays can be used in standard high-level analyses of microarrays (such as clustering).
This uncertainty in reliable detection of gene expression is thought to be associated with several issues connected to oligonulceotide microarrays such as Affymetrix DNA chips.
Default annotation of first and second generation Affymetrix microarrays such as HG-U133A is not compatible with up-to-date transcript information and does not allow the selective analysis of specific transcripts.
Likewise, extremely high density microarrays, such as oligonucleotide arrays [54] could be used to characterize apparently balanced translocations, inversions, genomic imprinting and with the inclusion of oligonucleotides interrogating single nucleotide polymorphisms (SNPs) also detect uniparental disomy (UPD) [55].
Oligonucleotide microarrays such as Affymetrix GeneChips detect labeled cRNA in a strand-specific manner.
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Currently, some tools have been developed for differential expression analysis based on microarray, such as R packages "LIMMA"[ 14], "SAMR"[ 15], "WGCNA"[ 16] and so on.
Downregulated genes in our microarray, such as the pro-apoptotic BNIP3 and galectin-3 (LGALS3), could prove to be important radioresponse genes.
RNA-seq has many advantages over microarray such as high resolution, low background noise, no requirement on prior knowledge of reference sequences, and the ability to distinguish isoforms and allelic expression [ 1].
It has been demonstrated that classification gene sets are profoundly influenced by the microarray methodology, such as the microarray technique, microarray platform, and preprocessing methods [ 4- 8].
On the other hand, SeaSight supports importing microarray data from different microarray platforms such as GenePix, Affymetrix, Agilent and ImaGene files, as well as generic tabular files.
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