diff options
| author | gebele <gebele@in-silico.ch> | 2016-04-21 10:29:52 +0000 |
|---|---|---|
| committer | gebele <gebele@in-silico.ch> | 2016-04-21 10:29:52 +0000 |
| commit | 1a09ee962a769dfe2ef49dcd6fb865381c221788 (patch) | |
| tree | 9154ae19f0c718982f5d435dc9959c6d03ca404d /views | |
| parent | b8d1ce9a588534e1a92bd4461c94b97b6269291c (diff) | |
updated prediction info
Diffstat (limited to 'views')
| -rw-r--r-- | views/prediction.haml | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/views/prediction.haml b/views/prediction.haml index d8312bb..709e17e 100644 --- a/views/prediction.haml +++ b/views/prediction.haml @@ -50,7 +50,7 @@ = (type == "Regression") ? "#{'%.2e' % prediction[:value]} (#{unit}) , #{'%.2e' % @compound.mmol_to_mg(prediction[:value])} #{(unit == "mmol/L") ? "(mg/L)" : "(mg/kg_bw/day)"}" : prediction[:value] / tabindex=0 seems the best fix for FF|S browsers on OSX better than trigger="click focus" which ends up in double click for FF. / prediction popover - %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Prediction", :tabindex=>"0", data: {trigger:"focus", toggle:"popover", placement:"left", html:"true", content:"Lazar calculates searches the training dataset for similar compounds (neighbors) and calculates the prediction from their measured activities. Lazar calculates predictions using <ul><li>a majority vote (weighted by compound similarity) for<br /><b>classification</b> (<a href='http://www.frontiersin.org/Journal/10.3389/fphar.2013.00038/abstract', target='_blank'>original publication</a>) </li><li>a local QSAR model based on neighbors for<br /><b>regression</b> (<a href='http://www.frontiersin.org/Journal/10.3389/fphar.2013.00038/abstract', target='_blank'</h>original publication</a>) </li></ul>Please keep in mind that predictions are based on the measured activities of neighbors."}} + %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Prediction", :tabindex=>"0", data: {trigger:"focus", toggle:"popover", placement:"left", html:"true", content:"<p>Lazar searches the training dataset for similar compounds (neighbors) and calculates the prediction from their experimental activities.<p><b>Classification:</b></br>Majority vote of neighbor activities weighted by similarity.<p><b>Regression:</b></br>Prediction from a local partial least squares regression model with neighbor activities weighted by similarity.<p><a href=\"http://www.frontiersin.org/Journal/10.3389/fphar.2013.00038/abstract\", target=\"_blank\"> Original publication</a>."}} %br - if type == "Regression" %b 95% Prediction interval: |