PADGE

帕吉特

• 批准号: 8170546
• 负责人: LI LI
• 金额: $ 0.71万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8170546
• 关键词: Bioinformatics; Computer Retrieval of Information on Scientific Projects Database; Funding; Genes; Grant; 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; 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

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 差异基因表达百分位数分析（PADGE）是一种新的用于鉴定两组异质性样本之间差异表达基因的工具。设计PADGE以在一系列百分位数截止值下比较样品亚组的表达谱，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，还实施了所有样品统计分析（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），并且它们的结果与PADGE并排显示，提供了用于分析异质表达模式的基于网络的工具的资源