Sentence examples for microarray data consisting from inspiring English sources

For example, GRNs could be drawn from microarray data consisting of 62 primary tumors and 41 normal prostate tissues to explore the significant GRNs correlated with disease, severity and stage in the prostate cancer [23].

Microarray data, consisting of 52 antigens for melanoma (CD45−) samples and 78 antigens for leukocytes (CD45+), were median normalized separately.

Here, we employed this module-based approach for the estimation of temporal transcription regulation structure of A. fumigatus in heat shock with microarray data consisting of very short length of time point, i.e., 6.

The preprocessing procedure for the raw microarray data consists of background correction, normalization, and summarization.

The preprocessing procedure for the raw microarray data consists of back-ground correction, normalization, and summarization.

For prostate cancer, the cDNA microarray data consist of 62 tumors and 41 normal prostate samples (Lapointe et al., 2004), while the oligo microarray (Affymetrix U95Av2) data contain 52 tumor and 50 non-tumor samples (Singh et al., 2002).

The analysis of the microarray data consisted of the following steps: 1) within-array and between-array normalizations; 2) fitting the data to a linear model; and 3) computing differential gene expression.

For lung cancer, the cDNA microarray data consist of 13 squamous cell lung cancer and five normal lung specimens (Garber et al., 2001), while the data by Affymetrix human U95A oligonucleotide arrays consist of 21 squamous cell lung carcinomas and 17 normal lung specimens (Bhattacharjee et al., 2001).

Arabidopsis thaliana (Arabidopsis) microarray expression data consisting of 22,810 probe sets (genes) and 216 samples under five conditions (control, cold, drought, heat, and salt) were analyzed.

To investigate this we obtained a second set of data, consisting of exon microarrays applied to members of the CEPH 1444 pedigree by Kwan et al. [11].

ChipInspector (version 1.3; Genomatix Software GmbH, Munich) is a novel single probe-based analysis tool for microarray data that consists of four steps: single probe-transcript annotation, total intensity normalization, SAM analysis (adapted to single probe handling) and transcript identification based on significantly changed probes.