diff --git a/README.md b/README.md
index 1853651..61e1796 100644
--- a/README.md
+++ b/README.md
@@ -22,3 +22,9 @@ devtools::install_github("thereallda/enONE")
```
Tutorial can be found at
+
+> 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**
+> ()
diff --git a/_pkgdown.yml b/_pkgdown.yml
index 022eb51..e676656 100644
--- 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
index 2792e26..310d893 100644
--- 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