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KechrisLab · Jan 14, 2024 · 8b5f5e7 · 8b5f5e7
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diff --git a/README.Rmd b/README.Rmd
@@ -20,6 +20,11 @@ options(tibble.print_min = 5, tibble.print_max = 5)
 [![CRAN status](https://www.r-pkg.org/badges/version/SmCCNet)](https://cran.r-project.org/web/packages/SmCCNet/index.html)
 <!-- badges: end -->
 
+**Note:** if you use SmCCNet in published research, please cite:
+
+> Liu, W., Vu, T., Konigsberg, I. R., Pratte, K. A., Zhuang, Y., & Kechris, K. J. (2023). SmCCNet 2.0: an Upgraded R package for Multi-omics Network Inference. bioRxiv, 2023-11.
+
+> Shi, W. J., Zhuang, Y., Russell, P. H., Hobbs, B. D., Parker, M. M., Castaldi, P. J., ... & Kechris, K. (2019). Unsupervised discovery of phenotype-specific multi-omics networks. Bioinformatics, 35(21), 4336-4343.
 
 ## Overview
 
@@ -62,11 +67,7 @@ The final network generated from SmCCNet can be visualized in two ways:
 
 # SmCCNet Workflow
 
-**Note:** if you use SmCCNet in published research, please cite:
-
-> Liu, W., Vu, T., Konigsberg, I. R., Pratte, K. A., Zhuang, Y., & Kechris, K. J. (2023). SmCCNet 2.0: an Upgraded R package for Multi-omics Network Inference. bioRxiv, 2023-11.
 
-> Shi, W. J., Zhuang, Y., Russell, P. H., Hobbs, B. D., Parker, M. M., Castaldi, P. J., ... & Kechris, K. (2019). Unsupervised discovery of phenotype-specific multi-omics networks. Bioinformatics, 35(21), 4336-4343.
 
 
 ## General Workflow

diff --git a/README.md b/README.md
@@ -9,6 +9,17 @@
 status](https://www.r-pkg.org/badges/version/SmCCNet)](https://cran.r-project.org/web/packages/SmCCNet/index.html)
 <!-- badges: end -->
 
+**Note:** if you use SmCCNet in published research, please cite:
+
+> Liu, W., Vu, T., Konigsberg, I. R., Pratte, K. A., Zhuang, Y., &
+> Kechris, K. J. (2023). SmCCNet 2.0: an Upgraded R package for
+> Multi-omics Network Inference. bioRxiv, 2023-11.
+
+> Shi, W. J., Zhuang, Y., Russell, P. H., Hobbs, B. D., Parker, M. M.,
+> Castaldi, P. J., … & Kechris, K. (2019). Unsupervised discovery of
+> phenotype-specific multi-omics networks. Bioinformatics, 35(21),
+> 4336-4343.
+
 ## Overview
 
 SmCCNet is a framework that adeptly integrates single or multiple omics
@@ -82,17 +93,6 @@ The final network generated from SmCCNet can be visualized in two ways:
 
 # SmCCNet Workflow
 
-**Note:** if you use SmCCNet in published research, please cite:
-
-> Liu, W., Vu, T., Konigsberg, I. R., Pratte, K. A., Zhuang, Y., &
-> Kechris, K. J. (2023). SmCCNet 2.0: an Upgraded R package for
-> Multi-omics Network Inference. bioRxiv, 2023-11.
-
-> Shi, W. J., Zhuang, Y., Russell, P. H., Hobbs, B. D., Parker, M. M.,
-> Castaldi, P. J., … & Kechris, K. (2019). Unsupervised discovery of
-> phenotype-specific multi-omics networks. Bioinformatics, 35(21),
-> 4336-4343.
-
 ## General Workflow
 
 <img src="vignettes/figures/workflow.png" width="100%" />