Sentence examples for microarray samples corresponding from inspiring English sources

Analogous preprocessing steps were applied to the 25 mouse microarray samples corresponding to five different time points (weeks 4, 8, 12, 16 and 20, each time point had five mice).

To further investigate the correlation between histone methylation and bimodal gene expression, we gathered additional microarray samples corresponding to H9 stem cells (GEO dataset accession numbers GSE9865, GSE8884, and GSE2248) and evaluated the mode of expression for bimodal genes within those H9 stem cell samples as well as liver samples within our dataset.

To be able to make direct comparison of 454-based RA values with microarray-based expression profiles for the six tissue samples, corresponding microarray RA values were also computed using the same approach.

To illustrate the AGEP approach, we used a reference dataset consisting of normalized Affymetrix gene expression microarray profiles from 1654 normal samples corresponding to 44 distinct healthy tissues types from the GeneSapiens database [ 7].

The analysis was performed on a subset of the samples corresponding to the AB 1700 microarray analysis (pre- versus post-surgery, n = 9).

McLachlan et al. [ 3] presented a model-based approach to cluster microarray gene expression data from independent tissue samples corresponding to colon and leukaemia cancer diagnoses.

We have reanalysed a microarray dataset contributed in 2004 by Blalock et al. of 31 samples corresponding to hippocampus gene expression from 22 AD subjects of varying degree of severity and 9 controls.

Additional file 1: Quality control processing of lesional (PP) and uninvolved (PN) skin microarray samples.

Gene expression profiling of 14 different samples, corresponding to 3-4 time points for each of the 4 differentiative pathways, was determined using the GeneChip Human Genome U133 Plus 2.0 oligonucleotide microarrays (Affymetrix, Santa Clara, CA, USA) containing a redundant probe set of 54630 sequences.

SV performed microarray samples preparation and hybridization.

We normalized each microarray sample in the dataset by their corresponding controls (i.e. no treatment conditions) and discarded the control samples, so that each sample in the CK dataset reflects fold-changes in response to the corresponding stimulus.