update chinese tutorial

thereallda · May 10, 2024 · 2bd03ed · 2bd03ed
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diff --git a/README.md b/README.md
@@ -22,3 +22,9 @@ devtools::install_github("thereallda/enONE")
 ```
 
 Tutorial can be found at <https://thereallda.github.io/enONE/>
+
+> If you use `enONE` for your analysis, please cite the publication:
+>
+> **Epitranscriptome analysis of NAD-capped RNA by spike-in-based
+> normalization and prediction of chronological age**
+> (<https://doi.org/10.1016/j.isci.2023.108558>)
diff --git a/_pkgdown.yml b/_pkgdown.yml
@@ -11,7 +11,7 @@ navbar:
         - text: "enONE Tutorial"
           href: articles/enONE_tutorial.html
         - text: "enONE Tutorial - Chinese"
-        href: articles/enONE_tutorial-zh.html
+          href: articles/enONE_tutorial-zh.html
     - text: "Reference"
       href: reference/index.html
   right:

diff --git a/vignettes/enONE_tutorial-zh.Rmd b/vignettes/enONE_tutorial-zh.Rmd
@@ -91,7 +91,7 @@ Enone
 
 ### 质量控制（Quality control）
 
-`enONE` 首先进行质量控制步骤，通过 `FilterLowExprGene` 保留至少在 `n` 个样本中至少具有 `min.count` 的基因来完成此步骤。`n` 由 `group` 中指定的最小组样本大小确定。
+`enONE` 首先进行质量控制步骤，通过 `FilterLowExprGene` 保留至少在 `n` 个样本中至少具有 `min.count` 的基因来完成此步骤。`n` 由 `group` 中指定的最小样本组的大小确定。
 
 ```{r}
 Enone <- FilterLowExprGene(Enone, group = Enone$condition, min.count = 20)
@@ -358,7 +358,7 @@ DotPlot(syn_df, x="syn_id", y="logFC", fill="syn_id") +
   scale_x_discrete(labels=samples_label)
 ```
 
-Syn1, which contained 5% NAD-RNA, are significantly enriched, whereas no enrichment is found for Syn2 made up with 100% m7G-RNA.
+其中，具有5% NAD-RNA的Syn1有明显富集，而100% m7G-RNA的Syn2并没有出现富集，表明了富集实验的特异性。
 
 ```{r,eval=FALSE}
 # save Enone data