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@imxiaow imxiaow commented Jul 3, 2019

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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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「中中」>「中」


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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「测试」>「检验」



# A pathway enrichment analysis using reactome
# 使用 reactome 的途径富集分析

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「途径」>「通路」

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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「测试特定途径」>「测试特定通路」


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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「路径」>「通路」

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2 participants