… gene shaving algorithm we proposed. Then we apply the method to gene selection with
integrative analysis of both gene … For the purpose of comparison with individual data analysis, …

… , quantitative gene lists, might unify disparate genomic data. When we consider the integrative
analyses highlighted here, we find lists of genes activated in cancer; lists of genes that …

… Identification of DEGs between AD and Control Groups To identify genes that markedly
affect AD, we first obtained genes that were differentially expressed between AD patients and …

… paired integrative analysis returns more affected genes than the nonpaired integrative analysis.
… In summary, we have shown that an individual gene-based paired integrative analysis of …

… In this study we present a method for the integrative analysis … The approach integrates gene
annotations and expression data … to the analysis of gene expression datasets in which genes …

… extracting biological meaning from large gene/protein lists. This … and integrated data-mining
environment, to analyze gene lists … a gene list containing any number of common gene …

… potential role of these genes in SCZ pathogenesis, we performed comprehensive integrative
analyses by integrating data from different layers, including genetic associations from large-…

… : Our integrated analysis identified novel gene … using integrated bioinformatics methods.
In addition, based on the result of this analysis, hub genes identification in the DEGs and gene …

… matrix for gene promoter scanning was also downloaded from TRANSFAC database. On the
basis of the expression signature genes by integrated analysis, we identified DEGs that has …

… Our integrated analysis identified novel gene signatures in preeclampsia and subgroups
and will contribute to the understanding of comprehensive molecular changes in preeclampsia. …