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Given the true network and experimental design, we used GNW (in a way independent of the network generation) and GeneSpider (GSP; Tjärnberg et al., 2014, manuscript in preparation) to generate gene expression data.
In parallel, genome-wide gene expression data is used to generate gene expression signatures for the sample.
The first commercial product in this field is the Fluidigm C1 Single-Cell Auto Prep System, which uses microfluidics to isolate single cells and offers the ability to generate gene expression profiles for up to 96 cells at a time.
This review discusses the major issues that researchers commonly face when embarking on microarray or RNA-seq experiments and summarizes important aspects of experimental design, which aim to help researchers deliberate how to generate gene expression profiles with low background noise but with more interaction to facilitate novel biological discoveries in modern plant genomics.
We have recently shown that genome-wide expression analysis of the peripheral blood (PB) can generate gene expression profiles that can predict radiation exposure and distinguish the dose level of exposure following total body irradiation (TBI).
The spot mean signal intensities for probes passing the filter were quantile normalized [31] to generate gene expression measures.
The image data was quantitated to generate gene expression values and ratios of gene expression between the hybridized samples.
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Since we need quantitative relationships in the networks in order to generate gene-expression data from each network, in the data generation process, we use adjacency matrices with signed weights.
The recently developed cDNA expression array technique can be used to generate gene-expression fingerprints of tumour specimens.
In Fig. 2, we show the results of the experiments with DBNSim used to generate gene-expression data, and DBI as base inference algorithm.
To generate gene-expression profiles of primary human breast cancer bone metastases and primary breast cancers, we selected five fresh-frozen samples for each group (see Additional file 2, Additional file 3).
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