STAT6 has been recently linked to HPN as one of the most robust pair of biomarkers for prostate cancer using an integrative approach that linked several microarray datasets [596].
Such a setup would emulate the availability of several microarray datasets from the same biological context.
Data mining identified several microarray datasets with patterns resembling to the ones observed in daunorubicin-treated cells.
We describe a methodology able to identify new genes involved in specific conditions from several microarray datasets.
Applying our methods on several microarray datasets, we have discovered many significantly activated TFs and their corresponding pathway segments, which are supported by evidence in the literature.
Recently, using several microarray datasets, Li et al. identified gene signature modules with high predictive accuracy for breast cancer metastasis[ 49].
In line with this, AIF expression level is positively correlated with overall survival in our cohort of colon cancer patients, which can also be found in several microarray datasets for colon, breast, and lung cancers.
By integrating several microarray datasets and miRNA-target information datasets, we identified 431 miRNAs and 498 differentially expressed target genes in bone marrow-derived macrophages (BMDMs) with LPS-stimulation.
