Sentence examples for microarray compendium due from inspiring English sources

It is one of the best-perturbed regulators in the microarray compendium due to the compendium's emphasis on DNA-damaging conditions [4].

Using microarray compendium data, we are able to generate high confidence and testable hypothesis on TF-regulon relationships.

Although successful in analyzing small datasets, the above mentioned correlation or distance measures will be less helpful for searching large datasets, such as microarray compendium data.

To test its performance, we applied it to a series of synthetic datasets as well as to the real Escherichia coli microarray compendium dataset [30].

The entire microarray compendium can be represented as a matrix, where each row represents a gene and each column represents an experimental condition.

A particular example is the so-called microarray compendium in which gene expression profiles were surveyed in hundreds of samples which were treated under diverse biological conditions [4] [6].

For microarray compendium, we used the same dataset as in ref. 9. First, we consider an |N|×|N| adjacency matrix A of the network with a node set N and an |N|×|N| expression correlation matrix C, constructed by calculating all pair-wise Pearson Correlation coefficients of expression profiles of genes using our microarray compendium.

Given the microarray compendium scenario, we hypothesized that statistically significant correlation can still be detected using microarray, but strong correlation will be confined to a subset of samples/experimental conditions.

The authors want to thank Drs. Gardner and Faith for making the Escherichia coli microarray compendium data publicly available and Drs. Yongqun He and Nicholas Bergman for helpful discussion on Lrp gene regulation in E. coli.

When we apply this new method to the Escherichia coli microarray compendium data, it identifies a majority of known regulons as well as novel potential target genes of numerous key transcription factors.

In the study on E. coli microarray compendium dataset, using the default setting which is ten parallel chains each with 50 cycles, searching 100 genes takes about 30 minutes on a PowerMac with dual 2.5 GHz processors.