diff options
Diffstat (limited to 'views/prediction.haml')
| -rw-r--r-- | views/prediction.haml | 14 |
1 files changed, 9 insertions, 5 deletions
diff --git a/views/prediction.haml b/views/prediction.haml index ef0c5db..33e9ec5 100644 --- a/views/prediction.haml +++ b/views/prediction.haml @@ -18,6 +18,7 @@ %td{:id=>"compound", :style=>"vertical-align:top;"} %p= @compound.svg %p= @compound.smiles + -#- mw = @compound.molecular_weight - @model_types = {} - @dbhit = {} - @predictions.each_with_index do |prediction,i| @@ -30,10 +31,14 @@ - if prediction[:confidence] == "measured" - @dbhit[i] = true %p - / TODO fix scientific notation from database %b Measured activity: - = (type == "Regression") ? "#{"%.2e" % prediction[:value]} (#{@models[i].unit})" : prediction[:value] - %p Compound is part of the training dataset + - p prediction[:value] + - if prediction[:value].is_a?(Array) + = (type == "Regression") ? prediction[:value].collect{|v| weight = Compound.from_smiles(@compound.smiles).mmol_to_mg(v); '%.2e' % v + " (#{@models[i].unit})"+"|#{'%.2e' % weight} (mg/kg_bw/day)"}.join("</br>") : prediction[:value].join(", ") + - else + = (type == "Regression") ? "#{"%.2e" % prediction[:value]} (#{@models[i].unit}) | #{'%.2e' % @compound.mmol_to_mg(prediction[:value])} (mg/kg_bw/day)" : prediction[:value] + %p + %b Compound is part of the training dataset - elsif prediction[:neighbors].size > 0 %p / model type (classification|regression) @@ -41,8 +46,7 @@ = type %br %b Prediction: - / TODO scientific notation - = (type == "Regression") ? "#{'%.2e' % prediction[:value]} (#{@models[i].unit})" : prediction[:value] + = (type == "Regression") ? "#{'%.2e' % prediction[:value]} (#{@models[i].unit}) | #{'%.2e' % @compound.mmol_to_mg(prediction[:value])} (mg/kg_bw/day)" : prediction[:value] / TODO update description / %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Prediction", data: {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."}} %br |