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We also obtained RNA-seq based gene expression data (RPKM) from64 and17 for mESC and pro-B cells, respectively.
The quality of DNA microarray based gene expression data relies on the reproducibility of several steps in a microarray experiment.
This utilises both predicted transcription factor binding sites (TFBS), transcription factor abundance, and our microarray based gene expression data.
A novel strategy for modeling and visualising transcription factor (TF) networks that utilises predicted transcription factor binding sites (TFBS), transcription factor abundance, and our microarray based gene expression data was employed (Fig. S4).
RNAseq based gene expression data is the data platform of choice for a GRN inference.
The TCGA dataset contains microarray based gene expression data from over 500 high-grade ovarian cancer samples.
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Additionally, mRNA expression was determined in corresponding tumor samples using microarray based gene-expression data.
For example, in breast cancer, recent studies that are mainly based on microarray-based gene expression data and unbiased hierarchical clustering have identified several molecular subtypes: basal-like, ErbB2+, normal breast-like, luminal subtype A, and luminal subtype B [ 16, 17].
When qRT-PCR data derived in rats for a small election of genes were used to assess the effects of normalisation methods on microarray-based gene expression data, we found that for Affymetrix, MAS 5.0, RMA, GC-RMA and the Li-Wong method all had very high correlations with the logarithm of the qRT-PCR fold change, and the highest was comparison-dependent (see Additional file 9).
Using microarray-based gene expression data and associated clinical reports, we generated a Kaplan-Meier survival curve based on differential STAT6 expression among 343 glioma patients.
Because of the various methodologies for arraying genes and assessing mRNA expression levels, and different bioinformatics tools for the management and analyses of the data, investigators quickly realized the need to establish standards for recording and reporting microarray-based gene expression data.
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