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-rw-r--r--views/prediction.haml8
1 files changed, 4 insertions, 4 deletions
diff --git a/views/prediction.haml b/views/prediction.haml
index a74b95a..8d7e3d0 100644
--- a/views/prediction.haml
+++ b/views/prediction.haml
@@ -18,7 +18,7 @@
%td{:id=>"compound", :style=>"vertical-align:top;"}
%p= @compound.svg
%p= @compound.smiles
- - mw = @compound.molecular_weight
+ -#- mw = @compound.molecular_weight
- @model_types = {}
- @dbhit = {}
- @predictions.each_with_index do |prediction,i|
@@ -34,9 +34,9 @@
%b Measured activity:
- 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, mw); '%.2e' % v + " (#{@models[i].unit})"+"|#{'%.2e' % weight} (mg/kg_bw/day)"}.join("</br>") : prediction[:value].join(", ")
+ = (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], mw)} (mg/kg_bw/day)" : prediction[:value]
+ = (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
@@ -46,7 +46,7 @@
= type
%br
%b Prediction:
- = (type == "Regression") ? "#{'%.2e' % prediction[:value]} (#{@models[i].unit}) | #{'%.2e' % @compound.mmol_to_mg(prediction[:value], mw)} (mg/kg_bw/day)" : 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