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%div.results
%h3 Neighbors:
/ tabs div
#tabs
%ul.nav.nav-tabs.nav-justified{:id=>"neighborTabs", :role=>"tablist"}
- @models.each_with_index do |model,i|
/ get predictionFeature type
- m = Model::Lazar.find model.model_id.to_s
%li{:class => ("active" if i == 0)}
%a{:href => "#results_#{i+1}", :id => "linkTab#{i+1}", data: {toggle:"tab"}}
= "#{model.endpoint} (#{model.species})"
%div.tab-content
- @predictions.each_with_index do |prediction,j|
- if prediction.dimension > 0
- prediction = prediction[0]
#results.tab-pane{:id=>"#{j+1}", :class => ("active" if j == 0)}
:javascript
$(document).ready(function(){
$("table##{j+1}").tablesorter({
debug: false,
theme: "bootstrap",
headerTemplate: '',
widgets: ['columns', 'uitheme', 'stickyHeaders'],
widgetOptions: {
stickyHeaders_attachTo : '.tab-content',
stickyHeaders : '',
stickyHeaders_offset : 0,
stickyHeaders_cloneId : '-sticky',
stickyHeaders_addResizeEvent : true,
stickyHeaders_includeCaption : true,
stickyHeaders_zIndex : 2,
stickyHeaders_attachTo : null,
stickyHeaders_xScroll : null,
stickyHeaders_yScroll : null,
stickyHeaders_filteredToTop: true
},
sortList: [[2,1]],
headers: {sorter: false},
widthFixed: false
});
});
- if prediction[:neighbors]
%div.table-responsive
%table{:id=>"#{j+1}", :style=>"border-style: solid;"}
%thead
%tr
%th.sorter-false{:style =>"vertical-align:middle;"}
Compound
%th.sorter-false{:style =>"vertical-align:middle;"}
Measured Activity
%a.btn.glyphicon.glyphicon-info-sign{:href=>"javascript:void(0)", :title=>"Measured Activity", :tabindex=>"0", data: {trigger:"focus", container:"body", toggle:"popover", placement:"auto", html:"true", content:"Experimental result(s) from the training dataset."}, :style=>"z-index:auto+10;"}
%th.sorter-false{:style =>"vertical-align:middle;"}
Similarity
%a.btn.glyphicon.glyphicon-info-sign{:href=>"javascript:void(0)", :title=>"Similarity", :tabindex=>"0", data: {trigger:"focus", container:"body", toggle:"popover", placement:"auto", html:"true", content:"<a alt=\"Link opens in new window.\" title=\"Link opens in new window.\" target=\"_blank\" href=\"https://en.wikipedia.org/wiki/Jaccard_index\">Tanimoto/Jaccard</a> similarity based on <a alt=\"Link opens in new window.\" title=\"Link opens in new window.\" target=\"_blank\" href=\"https://openbabel.org/docs/dev/FileFormats/MolPrint2D_format.html\">Molprint2D</a> fingerprints."}, :style=>"z-index:auto+10;"}
%tbody
- type = @model_types[j]
- unit = @models[j].unit
- prediction[:neighbors].uniq.each_with_index do |neighbor,count|
%tr
/ Compound
- c = Compound.find(neighbor)
%td{:style =>"vertical-align:middle;padding-left:1em;width:50%;"}
= embedded_svg(c.svg, title: c.smiles)
%p= c.smiles
/ Measured Activity
%td{:style =>"vertical-align:middle;padding-left:1em;width:20%;white-space:nowrap;"}
- if neighbor[:measurement].is_a?(Array)
= (type == "Regression") ? neighbor[:measurement].collect{|value| "#{value.delog10.signif(3)} (#{unit})</br>#{c.mmol_to_mg(value.delog10).signif(3)} #{unit =~ /mmol\/L/ ? "(mg/L)" : "(mg/kg_bw/day)"}"}.join("</br>") : neighbor[:measurement].join(", ")
- else
- if !neighbor[:measurement].nil?
= (type == "Regression") ? "#{neighbor[:measurement].delog10.signif(3)} (#{unit})</br>#{c.mmol_to_mg(neighbor[:measurement].delog10).signif(3)} #{(unit =~ /\b(mmol\/L)\b/) ? "(mg/L)" : "(mg/kg_bw/day)"}" : neighbor[:measurement]
/ Similarity = tanimoto
%td{:style =>"vertical-align:middle;padding-left:1em;width:20%;"}
= neighbor[:similarity].round(3)
- else
%span.btn.btn-default.disabled
= "Not enough similar compounds in training dataset"
|