Sentence examples for multiple microarray platforms from inspiring English sources
In order to synthesize the original information of fold changes, a novel method was developed to overcome differences in multiple microarray platforms.
Owing to the underlying heterogeneity among included studies, such as differences in the tumor of origins (oral, pharynx, or larynx), multiple microarray platforms, different analytical approaches taken, and diverse endpoints, we sought to examine the validity of three staged classification of the HNSCC transcriptome.
Extensive expertise, laser-capture microdissection, and multiple microarray platforms are available.
To allow testing in multiple microarray platforms, three types of cRNA labels will be used: biotin, DIG and amino-allyl.
This approach poses three problems: errors and irrelevancies, multiple IDs for a single gene, and combining multiple microarray platforms.
This platform comparison analysis suggests that use of multiple microarray platforms provides complementary data as every microarray platform detects a unique set of novel CNVs.
The Rice Multi-platform Microarray Search Tool facilitates comparison of gene expression profiles across multiple rice microarray platforms.
These results, derived from a larger series profiled on multiple different microarray platforms, suggest a global enrichment of T-cell expression signatures in non-Asian GCs.
It is difficult to directly apply the published models on our data since multiple different microarray platforms (e.g. one channel Affymetrix microarrays(Uv95Av2, HumanGeneFl, U133A) or two-channel custom arrays (cDNA)) have been used to derive these gene sets.
To study wine grape gene function, multiple transcriptomic approaches have been developed [ 4, 5], including expressed sequence tags (ESTs) [ 6], massively parallel signature sequencing (MPSS) [ 7], small RNA deep sequencing [ 8], Illumina sequencing [ 9], and multiple oligonucleotide microarray platforms [ 10- 13].
The present study is complementary to a recent elegant paper by Sah et al. [ 24], which employed a very different experimental design to evaluate performance of multiple miRNA microarray platforms.
