Exact(20)
Relatedly, while systematic errors are well controlled in highly developed microarray technology, samples from different experiments contribute noise to each other when a meta-analysis is conducted due to the fact that the expression patterns from different experiments have a wide range of variation (Ramasamy et al. 2008; Campain and Yang 2010).
We tested the expression of almost 20,000 transcripts on a recently developed microarray for linkage across the pig genome.
We also have developed microarray data integration techniques that exploit inter-gene relations, such as correlation signature [16] and signature cube [17].
For example, coexpression clustering one of the earliest developed microarray analysis tools [62], [63] provides an overall view of expression patterns of different genes, and greatly helps dissect and demonstrate the effect of each condition on the overall transcriptome.
A recently developed microarray, containing PCR products representing every predicted open reading frame present in seven whole-genome sequences of S. aureus (strains MRSA 252, N315, Mu50, COL, 8325, MW2, MSSA476) was used for further analysis [21].
The rapidly developed microarray technique generates a huge amount of large-scale gene expression profiles.
Similar(40)
We developed Microarray-before-sequencing (Mab-seq) for use in ChIP experiments with both transcription factor binding and chromatin modification assays.
Many studies have developed microarray-based gene expression profiles consisting primarily of mRNA from frozen tumors from patients with good or poor prognoses and predicted the metastasis risk by overall gene expression analysis of the primary tumor [ 1- 4, 34].
Researchers have developed microarray-based gene expression profiles from frozen tumors from patients with good or poor prognosis and the metastasis risk has been predicted by gene expression of the primary tumor [ 1- 4].
Several companies have developed microarrays to meet the need for genomewide association analysis (most notably Affymetrix™ and Illumina™).
Our group has developed microarrays to measure autoantibodies targeting known autoantigens [ 18, 19], cytokines and chemokines [ 20], and modified peptides [ 21].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com