Update EGFR_Benchmark.md

ChrisRackauckas · web-flow · commit a6181163a190 · 2026-03-12T07:32:20.000-04:00
diff --git a/markdown/Jumps/EGFR_Benchmark.md b/markdown/Jumps/EGFR_Benchmark.md
@@ -9,7 +9,7 @@ using JumpProcesses, Plots, StableRNGs, BenchmarkTools, ReactionNetworkImporters
 
 
 
-We will benchmark the aggregators of JumpProcesses on a epidermal growth factor receptor signaling network (356 species, 3749 reactions).[^1]
+We will benchmark the aggregators of JumpProcesses on a epidermal growth factor receptor signaling network (356 species, 3749 reactions)[^1], modeled using Catalyst.jl[^2].
 
 Let's first look at how the model equilibriates to make sure we get consistent results for all the methods. Let's plot the dimer concentration as a function of time using each of the different stochastic simulation algorithms.
 

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`@@ -9,7 +9,7 @@ using JumpProcesses, Plots, StableRNGs, BenchmarkTools, ReactionNetworkImporters`
`9`	`9`
`10`	`10`
`11`	`11`
`12`		`-We will benchmark the aggregators of JumpProcesses on a epidermal growth factor receptor signaling network (356 species, 3749 reactions).[^1]`
	`12`	`+We will benchmark the aggregators of JumpProcesses on a epidermal growth factor receptor signaling network (356 species, 3749 reactions)[^1], modeled using Catalyst.jl[^2].`
`13`	`13`
`14`	`14`	`Let's first look at how the model equilibriates to make sure we get consistent results for all the methods. Let's plot the dimer concentration as a function of time using each of the different stochastic simulation algorithms.`
`15`	`15`