update cartoon methods

MangiolaLaboratory · Jan 22, 2025 · 6a61a19 · 6a61a19
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diff --git a/README.Rmd b/README.Rmd
@@ -21,7 +21,7 @@ For cellular omic data, no method for differential variability analysis exists,
 
 **sccomp** is an extensive analysis framework that allows realistic data simulation and cross-study knowledge transfer. We demonstrate that mean-variability association is ubiquitous across technologies, highlighting the inadequacy of the very popular Dirichlet-multinomial modeling and providing essential principles for differential variability analysis.
 
-<img src="inst/cartoon_methods.jpg" width="100%"/>
+<img src="inst/cartoon_methods.png" width="100%"/>
 
 ### Comparison with other methods
 

diff --git a/README.md b/README.md
@@ -32,7 +32,7 @@ highlighting the inadequacy of the very popular Dirichlet-multinomial
 modeling and providing essential principles for differential variability
 analysis.
 
-<img src="inst/cartoon_methods.jpg" width="100%"/>
+<img src="inst/cartoon_methods.png" width="100%"/>
 
 ### Comparison with other methods
 

diff --git a/inst/cartoon_methods.jpg b/inst/cartoon_methods.jpg
diff --git a/inst/cartoon_methods.png b/inst/cartoon_methods.png
diff --git a/vignettes/introduction.Rmd b/vignettes/introduction.Rmd
@@ -30,7 +30,7 @@ For cellular omic data, no method for differential variability analysis exists,
 
 **sccomp** is an extensive analysis framework that allows realistic data simulation and cross-study knowledge transfer. We demonstrate that mean-variability association is ubiquitous across technologies, highlighting the inadequacy of the very popular Dirichlet-multinomial modeling and providing essential principles for differential variability analysis.
 
-<img src="../inst/cartoon_methods.jpg" width="100%"/>
+<img src="../inst/cartoon_methods.png" width="100%"/>
 
 ### Comparison with other methods