Sentence examples for microarray data related from inspiring English sources

In this work, we generated and analyzed microarray data related to dioxin embryonic toxicity using a new interactome and novel analysis tools.

The microarray data related to this paper have been submitted to the Array Express data repository at the European Bioinformatics institute (http://www.ebi.ac.uk/arrayexpress/) under the accession numbers E-MEXP-2909 E-MEXP-2909 E-MEXP-2909 MIand E-MEXP-2910 E-MEXP-2910 E-MEXP-2910

We have collected almost all available public microarray data related to pancreas cells and from that constructed the BCGA.

Specifically, we have built a database that gathers all the public microarray data related to muscle studies from GEO [ 13].

We therefore aimed to narrow down our gene lists by performing cross-comparisons with other available microarray data related to seeds, germination, gibberellins and DELLA proteins.

The microarray data related to all samples have been deposited in the Gene Expression Omnibus (GEO, [ 72]) public repository (GEO accession number: GSE10204).

The microarray data and related protocols are available at the GEO web site [ http://www.ncbi.nlm.nih.gov/geo/] under accession number GSE23438.

Comparison with microarray data sets related to worker behavior revealed no obvious correlation between genes regulated by mating and genes regulated by behavior/physiology in workers.

The microarray data and related protocols are available at the GEO website (http://www.ncbi.nlm.nih.gov/geo/), under the study number [GSE60908].

Raw gene expression microarray data of related individuals from the CEU and YRI populations of the HapMap project were downloaded from GEO under accession number GSE7792, these data were generated by Huang et al.[ 23] using Affymetrix Human Exon 1.0 ST microarrays.

Hereby we assigned biological annotations in MeSH terminology to each entry of GEO microarray data via related literature, and we can estimate the biological relationship between a query and its retrieved data using their expression patterns.