Translation 09rna end to end#17
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| `DE_genes_CD` 和 `back_genes` 中， | ||
| 因为后两者是我们用于浓缩分析的基因世界。 | ||
| 我们得到一个带有 `gene_IDs` 长度的的载体 `in_universe`， | ||
| 当 `gene_IDs` 中的相应基因也可以在 `DE_genes_CD` 或 `back_genes` 中中找到时， |
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| The test uses a 0.01 p-value cutoff by default. | ||
| 该测试默认使用 0.01 p-value p值截止值。 |
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| # A pathway enrichment analysis using reactome | ||
| # 使用 reactome 的途径富集分析 |
| with the PROBEIDs as names and the entrez ids as vector elements. | ||
| `r Biocpkg("ReactomePA") ` 包提供了 | ||
| 使用免费，开源，策划和同行评审的 | ||
| [Reactome](http://www.reactome.org/) 途径数据库测试特定途径富集的可能性 [@Croft_2013; @Fabregat_2017]. |
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| The top pathways can be displayed as a bar chart that displays all categories | ||
| with a p-value below the specified cutoff (Figure \@ref(fig:reactomeBar)). | ||
| 顶部路径可以显示为条形图， |
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