Sentence examples for between microarray experiments and from inspiring English sources

RO participated in the comparison between microarray experiments and helped with the GeneSpring software.

High consistency between microarray experiments and RT PCR tests is in agreement with the mean false discovery rate of 12% for the list of differentially expressed genes.

Pearson's correlation coefficient was further calculated for each gene using the normalized data to quantify the consistency between microarray experiments and qRT-PCR (p < 0.05 and R > 0.9).

Comparison of enrichment levels between microarray experiments was performed after quantile normalization and signal smoothing of individual ChIP-chip datasets (see Materials and Methods).

There is not a strong consensus among the three gene sets we used [23], [24], [26], with about 13% (69/513) overlap, There are 67 genes in common between the two microarray experiments and two between the ChIP [26] and the McElwee et al. [23] microarray data, based on our filtering criteria.

The aim of our work was to propose a procedure to assess similarity between microarray experiments at the pathway level generating "Pathway signatures" (PS) for a set of experiments and use these signatures to interrogate microarray databases.

In 2009, Dudley et al. [ 23] evaluated 429 experiments, representing 238 diseases and 122 tissues from 8435 microarrays, and found evidences of a general, pathophysiological concordance between microarray experiments measuring the same disease in different tissues.

Widespread use of microarrays has generated large amounts of data, the interrogation of the public microarray repositories, identifying similarities between microarray experiments is now one of the major challenges.

Using a subset of the orthologs between two species and a small training set, their method learns a new distance function between microarray experiments in the two species.

A potential pitfall of this strategy, however, is whether independently generated datasets are combinable since the systematic bias between microarray experiments is commonly considered substantial.

Using our approach, we showed that the quality, as measured by the biological cohesion of DEGs, can vary greatly between microarray experiments.