These predictions are supported by gene expression experiments and by the genomic position of the ORFs.
These findings imply that similarities between PDX and primary tumors are strongly underestimated by gene expression experiments.
In addition, most researchers investigated SNPs or genes through either in silico statistical methods or by gene expression experiments, but did not integrate these results.
The results in animal studies were further backed by gene expression experiments, where the expression of endothelin receptor type A (EDNRA) gene was reduced, while the expression of endothelial nitric oxide synthase 3 (NOS3) gene increased [ 37].
The regulatory links satisfying these conditions are well supported by the gene expression experiments.
This indicates that half of the regulatory links analyzed in set TFsf-TGbs are definitely not supported by the gene expression experiments.
Since we investigated the global and aggregated characteristics of the immune response in T cells by integrating gene expression experiments conducted for T cell lines, the correlation coefficients represent the aggregate strength of the T cell-specific relationship between the genes and their interacting protein products [ 14, 44].
The procedure of identification of a miRNAapt and assignment of transcriptionally targeted gene sets was tested on 11 miRNAapt, for which the down-stream targets had been previously experimentally determined upon transfection in cultured cancer cells, followed by microarray gene expression experiments [ 30].
The goal of our study was to develop a literature based method to objectively evaluate the biological significance of differentially expressed genes produced by various statistical methods applied to gene expression experiments.
Candidate genes with expression patterns associated with milk production in cattle were identified by Ron et al. (2007) by combining their mouse mammary gland gene expression experiments with two other expression experiments (Clarkson et al. 2004; Stein et al. 2004) using comparative mapping.
We demonstrate the capability of this computational framework to infer regulatory modules associated with the cell cycle progression in Hela cells by combining information from time-course gene expression experiments [2], protein-protein interactions (PPI) [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], protein-DNA interactions (PDI) [23], and gene ontology (GO) [24].
