… Current analysis tools for high-dimensional gene expression profiles typically cluster similarly
behaving genes or samples from different patients or tissue types. The main goal of these …

… integrative analysis methods that take into account the complexity of these kinds of large-scale
data and investigate systematically the power of these methods to infer drug-gene …

… regulatory mechanisms encoded in cancer gene expression. Here, we review … integrative
computational and analytical methodologies. Before exploring the integrative analyses carried …

A statistical method for combining multiple microarray studies has been previously developed
by the authors. Here, we present the application of the method to our hepatocellular …

… i, Gene expression data using RNA-seq (brown) and microarray expression (yellow). j, A
total of 26 epigenomes contain 184 additional histone modification marks. k, Sixty highest-…

… for multivariate integrative analysis of paired data, based on Canonical Correlation Analysis
(… which we apply the integrative methods, consist of 20,021 gene expression probe sets and …

… We identify hundreds of genes and thousands of DNAme sites that may drive the reported
disease/quantitative trait genetic associations. We identify 300 gene expression MR …

… In this study, we performed an integrative analysis of all publicly available high-throughput
gene expression data in human NASH. This allowed us to obtain insights into the key drivers …

… Our proposed model makes gene expression integrative analysis more systematic and
expands the range of applications that an integrative analysis can be used to address. …

… paired integrative analysis returns more affected genes than the nonpaired integrative analysis.
… As in the nonpaired integrative analysis, we did not apply any restrictions on the size of …