PADGE

帕吉特

• 批准号: 7955515
• 负责人: LI LI
• 金额: $ 0.89万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2010-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7955515
• 关键词: Bioinformatics; Computer Retrieval of Information on Scientific Projects Database; Funding; Genes; Grant; Imagery; Informatics; Institution; Molecular Profiling; Online Systems; Pattern; Rank-Sum Tests; Relative (related person); Research; Research Personnel; Resources; Sampling; Science; Series; Side; Source; Subgroup; Testing; Tissue-Specific Gene Expression; United States National Institutes of Health; biocomputing; comparative; design; novel; tool; trend

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Percentile Analysis for Differential Gene Expression (PADGE) is a novel tool for identifying genes differentially expressed between two groups of heterogeneous samples. PADGE was designed to compare expression profiles of sample subgroups at a series of percentile cutoffs and to examine the trend of relative expression between sample classes as expression level increases. For comparative analysis, all sample statistical analysis (t test or Wilcoxon rank sum test), the COPA approach (Tomlins et al, Science, 2005) and Kurtosis (Teschendorff, et al, Bioinformatics, 2006) are also implemented and their results are displayed side by side with PADGE, providing a resource of web-based tools for analysis of heterogeneous expression patterns

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目及 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 差异基因表达百分位分析 (PADGE) 是一种新工具，用于识别两组异质样本之间差异表达的基因。 PADGE 旨在比较一系列百分位截止值下样品亚组的表达谱，并检查随着表达水平增加样品类别之间的相对表达趋势。对于比较分析，还实施了所有样本统计分析（t 检验或 Wilcoxon 秩和检验）、COPA 方法（Tomlins 等人，Science，2005）和峰度（Teschendorff 等人，Bioinformatics，2006）并显示其结果与 PADGE 并列，提供基于网络的工具资源，用于分析异质表达模式