In the Federal Republic of Germany (West Germany), publicparticipation in the planning process of rural planning has recently increased its importance in the political sense, since citizen groups have become influential by taking initiatives for local plan-making. However, in West Germany, public ...
Supervised methods such as gene set enrichment analysis (GSEA)18 use previously described information in their search for associations, while unsupervised methods aim to identify novel signatures in an unbiased manner based on GE data only. Generally, any gene subset showing significant co-expression ...
The clusterProfiler package (Wu et al., 2021) was used for gene set enrichment analysis. Data and code availability The integrated cell map and associated analysis results from this study can be retrieved and viewed at the web-based platform scPLAD (https://biobigdata.nju.edu.cn/scPLAD/)....
To distinguish them, it may be helpful to study the variance explained per gene by each of the sets. ‘ABC Transporters’ and ‘Lysosome’ were the two most highly ranked gene sets using this way of ranking. However, neither of these was identified in a hypergeometric gene set enrichment ...
Gene set enrichment analysis (GSEA), univariate Cox proportional hazards regression, and the Bayesian hierarchical Cox proportional hazards model were used to explore the mRNAs related to the prognosis of lung adenocarcinoma. Multivariate Cox proportional hazard regression was used to identify independent ...
Gene-set enrichment analyses (GEA or GSEA) are commonly used for biological characterization of an experimental gene-set. This is done by finding known functional categories, such as pathways or Gene Ontology terms, that are over-represented in the experimental set; the assessment is based on an...
“not silenced” clusters are located at sites very distal from the XIC. A gene set enrichment analysis (GSEA) rank test (Fig.4c) reveals the significant correlation between the distribution of genes within the “early”, “intermediate” and “not silenced” clusters and their distance to the...
Gene Set Analysis (GSA) has proven to be a useful approach to microarray analysis. However, most of the method development for GSA has focused on the statistical tests to be used rather than on the generation of sets that will be tested. Existing methods of set generation are often overly ...
We performed gene-annotation enrichment analysis using The Gene Set Enrichment Analysis tool from the Broad Institute (v5.1)39. All fused genes, unique partner genes fromIgfusions and recurrently fused genes (involved in at least two fusions) were used (list provided as Official Gene Symbol identi...
3). From a functional perspective, we examined 62 broad and non-redundant Gene Ontology (GO) Slim terms related to biological processes using gene set enrichment analysis (GSEA) based on the rankings of mean expression abundance and dispersion across all genes. Among the 62 GO Slim terms, 59...