Sentence examples for microarray data collected from inspiring English sources

We conclude that our correspondence analysis based approach can be a useful tool for analyzing high dimensional microarray data collected in clinical investigations.

These numbers served as the input for the Affymetrix software, ExACT, which provided access to microarray data collected from 3 replicates each of 11 tissues (including breast, cerebellum, heart, kidney, liver, muscle, pancreas, prostate, spleen, testes and thyroid).

We studied the expression patterns of all signatures in two independent sets of microarray data collected in the United States (US validation set), a subset of the NSCLC cohort from Duke University (n = 96) [10], and 6 normal lung specimens from GSE3526 (NCBI GEO database).

Non-biological experimental error routinely occurs in microarray data collected in different batches.

With this concern in mind, knowledge-based analyses were also performed using microarray data collected at individual time points.

Tumor classification is performed on microarray data collected by DNA microarray experiments from tissue and cell samples [ 1- 3].

While sequence coverage is admittedly smaller on microarrays, data collected from both ENCODE and promoter arrays have enabled us to define the importance of the CUX1 consensus binding site in the recruitment of CUX1 to genomic locations and determine whether CUX1 can regulate genes at a distance.

Utilizing the B. bronchiseptica long-oligonucleotide microarray, ratio data collected from microarray analysis involving the direct comparison between B. bronchiseptica RB50 and RB54 revealed 1,668 Bvg-regulated genes (identified using SAM with a false discovery rate of <0.1%).

Microarray analysis data collected at different time points (Figure S2A) show dramatically impaired differentiation capacity of Shp2−/− mESCs.

Taking into account the absence of a significantly large yeast EST database, we use microarray expression data collected for genomic regions erroneously believed to be coding to study the expression pattern of non-coding regions in the Saccharomyces cerevisiae genome.

Information on more than 35 000 full-length Oryza sativa cDNAs, together with associated microarray gene expression data collected under various treatment conditions, has made it feasible to identify motifs that are conserved in gene promoters and may act as cis-regulatory elements with key roles under the various conditions.