diff options
Diffstat (limited to 'views/prediction.haml')
-rw-r--r-- | views/prediction.haml | 50 |
1 files changed, 35 insertions, 15 deletions
diff --git a/views/prediction.haml b/views/prediction.haml index 8d7e3d0..2454aca 100644 --- a/views/prediction.haml +++ b/views/prediction.haml @@ -12,7 +12,7 @@ / displays all prediction result in first table %h3 Prediction Results: %div.table-responsive - %table.table.table-bordered{:id=>"overview", :style=>"background-color:white;"} + %table.table.table-bordered{:id=>"overview"} %tbody %tr %td{:id=>"compound", :style=>"vertical-align:top;"} @@ -24,21 +24,25 @@ - @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})" %p - - if prediction[:confidence] == "measured" + - if prediction[:warning] =~ /\b(identical)\b/i - @dbhit[i] = true %p + /TODO combine with regular view, if prediction value is present %b Measured activity: - - p prediction[:value] + - 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{|value| "#{value} (#{unit}) , #{@compound.mmol_to_mg(value.delog10)} #{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] - %p + = (type == "Regression") ? "#{prediction[:value]} (#{unit}), #{@compound.mmol_to_mg(prediction[:value].delog10)} #{(unit =~ /\b(mol\/L)\b/) ? "(mg/L)" : "(mg/kg_bw/day)"}" : prediction[:value] + %p %b Compound is part of the training dataset + / warning popover + %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Warnings", :tabindex=>"0", data: {trigger:"focus", toggle:"popover", placement:"left", html:"true", content:"#{prediction[:warning]}"}} - elsif prediction[:neighbors].size > 0 %p / model type (classification|regression) @@ -46,22 +50,38 @@ = 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."}} + / prediction popover + %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 + = (type == "Regression") ? "#{prediction[:value].delog10} (#{unit})</br>#{@compound.mmol_to_mg(prediction[:value].delog10)} #{(unit =~ /\b(mol\/L)\b/) ? "(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. %br - / TODO probability - %b Confidence: - = prediction[:confidence].round(2) - / %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."}} + - if type == "Regression" + %b 95% Prediction interval: + - interval = (prediction[:prediction_interval].nil? ? ["- -","- -"] : prediction[:prediction_interval]) + / 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:"An estimate of prediction uncertainty. The \"real\" value should be with 95% probability within the prediction interval."}} + %br + = "#{interval[0].delog10} - #{interval[1].delog10} (#{unit})" + %br + = "#{@compound.mmol_to_mg(interval[0].delog10)} - #{@compound.mmol_to_mg(interval[1].delog10)} #{(unit =~ /\b(mol\/L)\b/) ? "(mg/L)" : "(mg/kg_bw/day)"}" if !prediction[:prediction_interval].nil? + - else + %b Probability: + - unless prediction[:probabilities].nil? + %br + = "#{prediction[:probabilities].keys[0]}: #{prediction[:probabilities].values[0]}" + %br + = "#{prediction[:probabilities].keys[1]}: #{prediction[:probabilities].values[1]}" + / probability 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 |