Sentence examples for microarray data applies from inspiring English sources

After removing genes that exhibit little variance, the standard script for exploring microarray data applies two-way hierarchical clustering (HC), followed by a visual search for patterns displayed in a red-green heatmap [ 1, 2].

The microarray data applied was part of an auxin time-course experiment with 7-days-old Arabidopsis Col-0 wt seedlings [ 43].

Therefore, we believe DGE is the ideal complementary technique for global cross-validation of long oligonucleotide microarray data applied to quantitative expression profiling.

To investigate whether MAMA can predict cis-elements in other microarray data, we applied it to microarray data from rice root subjected to zinc (Zn) deficiency (Suzuki et al. 2012).

A global median normalization of cervical microarray data was applied using BRB-ArrayTools v3.4.0 software.

EDGE and Timecourse, the most popular tools to analyze time-course microarray data, were applied to identify differentially expressed TUs [20] [22].

For simplicity we included ORFs as genes, and for the microarray data, we applied RMA normalization which is known to produce robust reproducible results for all range of expression units [31].

In this unsupervised meta-analysis, we show how to overcome the challenges posed by the heterogeneity of microarray data and apply exploratory data analysis methods.

In this study, microarray data were applied to build the protein-protein interaction (PPI) networks (PPINs) of 3 stages of cardioembolic strokes.

In our future studies, we will explore more into meta-analysis of microarray data by applying different statistics like meta correlation instead of chi- square statistics.

To reconstruct hidden TFAs from the microarray data, we applied and extended the Gaussian Process dynamic model (GPDM), which was previously used for tracking human motions [ 10].