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-rw-r--r--views/prediction.haml23
1 files changed, 13 insertions, 10 deletions
diff --git a/views/prediction.haml b/views/prediction.haml
index f99df75..89c33d6 100644
--- a/views/prediction.haml
+++ b/views/prediction.haml
@@ -24,6 +24,7 @@
- @predictions.each_with_index do |prediction,i|
- type = @models[i].model.class.to_s.match("Classification") ? "Classification" : "Regression"
- @model_types[i] = type
+ - unit = @models[i].unit
%td{:style=>"vertical-align:top;white-space:nowrap;"}
%b{:class => "title"}
= "#{@models[i].endpoint.gsub('_', ' ')} (#{@models[i].species})"
@@ -34,9 +35,9 @@
%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); '%.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 + " (#{unit})"+"|#{'%.2e' % weight} #{unit == "mmol/L" ? "(mg/L)" : "(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]
+ = (type == "Regression") ? "#{"%.2e" % prediction[:value]} (#{unit}) | #{'%.2e' % @compound.mmol_to_mg(prediction[:value])} #{(unit == "mmol/L") ? "(mg/L)" : "(mg/kg_bw/day)"}" : prediction[:value]
%p
%b Compound is part of the training dataset
- elsif prediction[:neighbors].size > 0
@@ -46,27 +47,29 @@
= type
%br
%b Prediction:
- = (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."}}
+ = (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.
+ %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."}}
%br
- / TODO probability
- if type == "Regression"
%b 95% Prediction interval:
- interval = prediction[:prediction_interval].nil? ? "[ - - ]" : prediction[:prediction_interval].collect{|i| i.round(2)}
- = interval
+ = "[#{interval[0]} (#{unit}), #{interval[1]} (#{unit})]"
+ / prediction intervall popover
+ %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Prediction intervall", :tabindex=>"0", data: {trigger:"focus", toggle:"popover", placement:"left", html:"true", content:"A <b>prediction interval</b> (<a href='https://en.wikipedia.org/wiki/Prediction_interval', target='_blank'>wikipedia</a>) is an estimate of an interval in which future observations will fall, with a certain probability, given what has already been observed."}}
- else
%b Confidence:
= prediction[:confidence].round(2) unless prediction[:confidence].nil?
- / %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Confidence", data: {toggle:"popover", placement:"left", html:"true", content:"Indicates the applicability domain of a model. Predictions with a high confidence can be expected to be more reliable than predictions with low confidence. Confidence values may take any value between 0 and 1. For most models confidence > 0.025 is a sensible (hard) cutoff to distinguish between reliable and unreliable predictions."}}
+ / confidence popover
+ %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Confidence", :tabindex=>"0", data: {trigger:"focus", toggle:"popover", placement:"left", html:"true", content:"Indicates the applicability domain of a model. Predictions with a high confidence can be expected to be more reliable than predictions with low confidence. Confidence values may take any value between 0 and 1. For most models confidence > 0.025 is a sensible (hard) cutoff to distinguish between reliable and unreliable predictions."}}
%p
/TODO add tooltip for significant ftagments and descriptors
/ - if @model_type[i] =~ /classification/i && (p.data_entries[0][1] != nil && p.data_entries[0][1] != 0.0)
/ Significant fragments:
- / %a.btn.btn-default.btn-sm{:id=>"linkSigFragments", :href => "#detailsTop", data: { toggle: "modal", remote: to("/prediction/#{CGI.escape(@model_uri)}/#{@model_type[i]}/#{CGI.escape(@compound.uri)}/fingerprints")}} Significant fragments
+ / %a.btn.btn-default.btn-sm{:id=>"linkSigFragments", :href => "#detailsTop", :tabindex=>"0", data: { toggle: "modal", remote: to("/prediction/#{CGI.escape(@model_uri)}/#{@model_type[i]}/#{CGI.escape(@compound.uri)}/fingerprints")}} Significant fragments
/ - if @model_type[i] =~ /regression/i && (p.data_entries[0][1] != nil && p.data_entries[0][1] != 0.0)
/ Descriptors
- / %a.btn.btn-default.btn-sm{:id=>"linkDescriptors", :href => "#detailsTop", data: { toggle: "modal", remote: to("/prediction/#{CGI.escape(@model_uri)}/#{@model_type[i]}/#{CGI.escape(@compound.uri)}/fingerprints")}} Descriptors
+ / %a.btn.btn-default.btn-sm{:id=>"linkDescriptors", :href => "#detailsTop", :tabindex=>"0", data: { toggle: "modal", remote: to("/prediction/#{CGI.escape(@model_uri)}/#{@model_type[i]}/#{CGI.escape(@compound.uri)}/fingerprints")}} Descriptors
/ %p
%p
- else