Sentence examples for microarray expression dataset from inspiring English sources

We identified 1,080 potential transcriptional regulators expressed in the microarray expression dataset of erythroid cells using Gene Ontology (GO) annotations (see Materials and Methods).

After downloading the preprocessed microarray expression dataset from Gene Expression Omnibus database, our group [36] applied a new computational strategy for the identification and biological interpretation of new candidate genes in lung cancer and smoking by coupling a network-based approach with gene set enrichment analysis.

We have confirmed individual aspects of our microarray expression dataset by comparing our results with known expression patterns of representative genes, as well as by WMISH studies of selected novel orofacial transcripts.

We present a microarray expression dataset surveying about 8,792 chicken Ensembl genes across 8 different chicken tissue types in 5-fold (brain, bursa of Fabricius, kidney, liver, lung, small intestine, spleen, and thymus).

A second independent evaluation was performed on a (microarray) expression dataset (GDS2329) that consisted of 10 MI and 10 control samples from mice [ 11].

The GA was trained on the dataset of expression values and local-network topology derived from the adult definitive erythroid microarray expression dataset.

Here we report the experimental design and the description of the ChIP-sequencing and microarray expression datasets uploaded to NCBI Sequence Research Archive (SRA) and Gene Expression Omnibus (GEO).

The results from these studies indicate that there is no single classifier that has the highest accuracy for all the microarray expression datasets.

The present system level network biology analysis from diabetes and obesity microarray expression datasets shows that the interaction across TGFBRII, SMAD3 and GCR along with FFA can induce vascular complications in diabetes.

We collected four publicly available glioma microarray expression datasets, which were performed using Affymetrix oligonucleotide microarray.

To study the expression characteristics of ribosomal protein genes, large-scale microarray expression datasets were collected.