Gene set enrichment ensemble using fold change data only
نویسندگان
چکیده
منابع مشابه
Gene set enrichment analysis using Wilcoxon tests
Gene set enrichment analysis (GSEA) is typically based on tests derived from the KolmogorovSmirnov, which is underpowered and a need for simpler methods has been identified.[2] The wgsea package contains functions for conducting GSEA using a Wilcoxon test to test for differences in the distribution of p values between SNPs within the gene set under test and a control set of SNPs. The mean of th...
متن کاملEvaluating Gene Set Enrichment Analysis Via a Hybrid Data Model
Gene set enrichment analysis (GSA) methods have been widely adopted by biological labs to analyze data and generate hypotheses for validation. Most of the existing comparison studies focus on whether the existing GSA methods can produce accurate P-values; however, practitioners are often more concerned with the correct gene-set ranking generated by the methods. The ranking performance is closel...
متن کاملChIP-Enrich: gene set enrichment testing for ChIP-seq data
Gene set enrichment testing can enhance the biological interpretation of ChIP-seq data. Here, we develop a method, ChIP-Enrich, for this analysis which empirically adjusts for gene locus length (the length of the gene body and its surrounding non-coding sequence). Adjustment for gene locus length is necessary because it is often positively associated with the presence of one or more peaks and b...
متن کاملExtensions to gene set enrichment
MOTIVATION Gene Set Enrichment Analysis (GSEA) has been developed recently to capture changes in the expression of pre-defined sets of genes. We propose number of extensions to GSEA, including the use of different statistics to describe the association between genes and phenotypes of interest. We make use of dimension reduction procedures, such as principle component analysis, to identify gene ...
متن کاملGene Set Enrichment Analysis Using Non-parametric Scores
Gene Set Enrichment Analysis (GSEA) is a well-known technique used for studying groups of functionally related genes and their correlation with phenotype. This method creates a ranked list of genes, which is used to calculate an enrichment score. In this work, we introduce two different metrics for gene ranking in GSEA, namely the Wilcoxon and the Baumgartner-Weiß-Schindler tests. The advantage...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2015
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2015.07.019