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authorChristoph Helma <helma@in-silico.ch>2018-01-15 15:00:14 +0100
committerChristoph Helma <helma@in-silico.ch>2018-01-15 15:00:14 +0100
commit1c3752ac7aa35584fd8c89c8a08fc04a616f65bf (patch)
treed7bf4e22d9210d6c46f0e22fa08c603e013194b5
parent3800005bafa367ba3f09365459f7ec426483becf (diff)
FSVO co-authors and fig2 caption
-rw-r--r--loael.Rmd10
1 files changed, 6 insertions, 4 deletions
diff --git a/loael.Rmd b/loael.Rmd
index 3886c50..0225ba9 100644
--- a/loael.Rmd
+++ b/loael.Rmd
@@ -5,9 +5,11 @@ author:
- David Vorgrimmler^1^
- Denis Gebele^1^
- Martin Gütlein^2^
- - Benoit Schilter^3^
- - Elena Lo Piparo^3^
-include-before: ^1^ in silico toxicology gmbh, Basel, Switzerland\newline^2^ Inst. f. Computer Science, Johannes Gutenberg Universität Mainz, Germany\newline^3^ Chemical Food Safety Group, Nestlé Research Center, Lausanne, Switzerland
+ - Barbara Engeli^3^
+ - Jürg Zarn^3^
+ - Benoit Schilter^4^
+ - Elena Lo Piparo^4^
+include-before: ^1^ in silico toxicology gmbh, Basel, Switzerland\newline^2^ Inst. f. Computer Science, Johannes Gutenberg Universität Mainz, Germany\newline^3^ Federal Food Safety and Veterinary Office (FSVO) , Risk Assessment Division , Bern , Switzerland\newline^4^ Chemical Food Safety Group, Nestlé Research Center, Lausanne, Switzerland
keywords: (Q)SAR, read-across, LOAEL, experimental variability
date: \today
abstract: |
@@ -487,7 +489,7 @@ The combined test set has a mean standard deviation (-log10 transformed values)
`r round(mean(10^(-1*c.dup$sd)),2)` mmol/kg_bw/day)
([@fig:intra]).
-![Distribution and variability of compounds with multiple LOAEL values in both databases Each vertical line represents a compound, dots are individual LOAEL values.](figures/dataset-variability.pdf){#fig:intra}
+![LOAEL distribution and variability of compounds with multiple measurements in both databases. Compounds were sorted according to LOAEL values. Each vertical line represents a compound, and each dot an individual LOAEL value. Experimental variability can be inferred from dots (LOAELs) lying on the same line (compound).](figures/dataset-variability.pdf){#fig:intra}
##### Inter database variability