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ppc_gene_nominal_pvalues.robj

NIAID Data Ecosystem2026-03-14 收录

iPSC基因表达差异分析

转录组统计学

数据链接：

https://figshare.com/articles/dataset/ppc_gene_nominal_pvalues_robj/21899496 数据链接链接失效反馈

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资源简介：

This file contains full summary statistics for iPSC-PPC gene expression.

应用场景：

创建时间：

2023-01-20

差异基因表达分析

转录组统计学

The table shows results of a global test [49], assessing the differential gene set expression of each gene module between WT and down-expression/KO of CD33. P-values of the test within simulated scena

Figshare2023-02-13 更新30

Most differentially-expressed genes revealed by both significance tests.

差异表达基因分析

转录组统计学

Most differentially-expressed genes revealed by both significance tests.

NIAID Data Ecosystem20

Raw and adjusted P values for gene expression analysis.

差异基因表达分析

转录组统计学

Raw and adjusted P values for gene expression analysis.

Figshare2024-11-14 更新10

Additional file 2 of Strategies for detecting and identifying biological signals amidst the variation commonly found in RNA sequencing data

基因表达量化

转录组统计学

Additional file 2. Summary of Statistical Measures used to Evaluate Gene Expression before and after Minimum Value Adjustment (MVA).

Figshare2021-05-04 更新30

Pairwise comparison of the global expression patterns of P. aeruginosa strains between each condition.

差异基因表达分析

转录组统计学

*Permutational multivariate analysis of variance (PERMANOVA) on unrestricted permutation of raw data was conducted on the gene expression data after a resemblance-similarity matrix was generated using

NIAID Data Ecosystem10

ppc_gene_nominal_pvalues.robj

资源简介：

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