Interface in English. Medical references retain their original language; bilingual names and selected translations are provided.
工具说明
原始资料可追溯英文登记说明
Gene Set Enrichment Analysis is a very powerful and interesting computational method that allows an easy correlation between differential expressed genes and biological processes. Unfortunately, although it was designed to help researchers to interpret gene expression data it can generate huge amounts of results whose biological meaning can be difficult to interpret. Many available tools rely on the hierarchically structured Gene Ontology (GO) classification to reduce reundandcy in the results. However, due to the popularity of GSEA many more gene set collections, such as those in the Molecular Signatures Database are emerging. Since these collections are not organized as those in GO, their usage for GSEA do not always give a straightforward answer or, in other words, getting all the meaninful information can be challenging with the currently available tools.
- 运行方式
- 访问原站或下载软件
- 登记许可
- GPL-3.0
- 核验状态
- 登记资料已同步 · 功能未验证
即将离开本站。原站对数据的处理规则以其政策为准。
方法与适用范围
来源为 bio.tools 登记记录,未逐项完成实际运行验证。请在上传数据或安装前核查作者、权限与许可。
依据与来源
- bio.tools 原始登记记录
元数据来源许可:CC BY 4.0;软件本身许可另行核查。中文说明为本站领域导引,不是完整翻译。

