From 48738e50ab34768cccfc770d3010c4f055bd76eb Mon Sep 17 00:00:00 2001
From: gebele <gebele@in-silico.ch>
Date: Wed, 20 Apr 2016 14:44:57 +0000
Subject: updated similarity info; changed delimiter

---
 views/neighbors.haml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/views/neighbors.haml b/views/neighbors.haml
index 3014255..2edc3ab 100644
--- a/views/neighbors.haml
+++ b/views/neighbors.haml
@@ -79,7 +79,7 @@
                       %a.btn.glyphicon.glyphicon-info-sign{:href=>"#neighbors", :title=>"Measured Activity", :tabindex=>"0", data: {trigger:"focus", container:"body", toggle:"popover", placement:"left", html:"true", content:"Experimental result(s) from the training dataset."}, :style=>"z-index:auto+10;"}
                     %td{:style=>"font-size:x-small;padding:0px;"}
                       / similarity
-                      %a.btn.glyphicon.glyphicon-info-sign{:href=>"#neighbors", :title=>"Similarity", :tabindex=>"0", data: {trigger:"focus", container:"body", toggle:"popover", placement:"left", html:"true", content:"<a href=\"https://en.wikipedia.org/wiki/Jaccard_index\">Tanimoto/Jaccard</a> similarity based on <a href=\"https://openbabel.org/docs/dev/FileFormats/Molprint2D_format.html\">Molprint2D</a> fingerprints."}, :style=>"z-index:auto+10;"}
+                      %a.btn.glyphicon.glyphicon-info-sign{:href=>"#neighbors", :title=>"Similarity", :tabindex=>"0", data: {trigger:"focus", container:"body", toggle:"popover", placement:"left", html:"true", content:"<a href=\"https://en.wikipedia.org/wiki/Jaccard_index\">Tanimoto/Jaccard</a> similarity based on <a href=\"https://openbabel.org/docs/dev/FileFormats/MolPrint2D_format.html\">Molprint2D</a> fingerprints."}, :style=>"z-index:auto+10;"}
                     / %td
                 %tbody
                   - type = @model_types[j]
@@ -96,7 +96,7 @@
                     / Measured Activity = compound.features
                     %td{:style =>"vertical-align:middle;padding-left:1em;width:20%;white-space:nowrap;"}
                       - features = c.features.collect{|k,v| v if k == predictionFeature[j]["id"] }.compact.flatten
-                      = (predictionFeature[j]["type"] == "numeric") ? features.collect{|v| weight = c.mmol_to_mg(v); '%.2e' % v + " (#{@models[j].unit})"+" | #{'%.2e' % weight} #{(unit == "mmol/L") ? "(mg/L)" : "(mg/kg_bw/day)"}"}.join("</br>") : features.join("</br>")
+                      = (predictionFeature[j]["type"] == "numeric") ? features.collect{|v| weight = c.mmol_to_mg(v); '%.2e' % v + " (#{@models[j].unit})"+" , #{'%.2e' % weight} #{(unit == "mmol/L") ? "(mg/L)" : "(mg/kg_bw/day)"}"}.join("</br>") : features.join("</br>")
                     / Similarity = tanimoto
                     %td{:style =>"vertical-align:middle;padding-left:1em;width:20%;"}
                       / TODO differentiate between no neighbors found and compound found in dataset, display neighbors for compounds in dataset?
-- 
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