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author | rautenberg <rautenberg@in-silico.ch> | 2016-11-07 19:36:03 +0100 |
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committer | rautenberg <rautenberg@in-silico.ch> | 2016-11-07 19:36:03 +0100 |
commit | ea2607614d3a29b37f5039094be3fd4dd5a8a041 (patch) | |
tree | 62fbca4f5d02c76b8a31fc37ebb1e8bd4bbb98ba /markdown_blocks | |
parent | e0c3bf14f986c993654b263ec089cbb58ce1ba2b (diff) |
add Bibliography and eNM logo
Diffstat (limited to 'markdown_blocks')
-rw-r--r-- | markdown_blocks/abstract.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/markdown_blocks/abstract.md b/markdown_blocks/abstract.md index b7fae2c..306dd23 100644 --- a/markdown_blocks/abstract.md +++ b/markdown_blocks/abstract.md @@ -1 +1 @@ -*lazar* (lazy structure–activity relationships) is a modular framework for predictive toxicology. Similar to the read across procedure in toxicological risk assessment, *lazar* creates local QSAR (quantitative structure–activity relationship) models for each compound to be predicted. Model developers can choose between a large variety of algorithms for descriptor calculation and selection, chemical similarity indices, and model building. We provide a high level description of the lazar framework and present the recent end user web interface *lazar* -GUI.
\ No newline at end of file +*lazar* (lazy structure–activity relationships\cite{Maunz2013}) is a modular framework for predictive toxicology. Similar to the read across procedure in toxicological risk assessment, *lazar* creates local QSAR (quantitative structure–activity relationship) models for each compound to be predicted. Model developers can choose between a large variety of algorithms for descriptor calculation and selection, chemical similarity indices, and model building. We provide a high level description of the lazar framework and present the recent end user web interface *lazar* -GUI.
\ No newline at end of file |