diff options
| author | gebele <gebele@in-silico.ch> | 2013-09-27 16:55:28 +0200 |
|---|---|---|
| committer | gebele <gebele@in-silico.ch> | 2013-09-27 16:55:28 +0200 |
| commit | e015957c317d311d0a579e68f8ff2f327a011fa3 (patch) | |
| tree | c4b4576c92829c06c838e4540a22d5af2c2d0d4f /application.rb | |
| parent | da701f22287f855b499145c181106f3736392d47 (diff) | |
use value map for sf
Diffstat (limited to 'application.rb')
| -rw-r--r-- | application.rb | 25 |
1 files changed, 24 insertions, 1 deletions
diff --git a/application.rb b/application.rb index 0bbf18a..5ac5186 100644 --- a/application.rb +++ b/application.rb @@ -68,8 +68,19 @@ get '/prediction/:model_uri/:type/:compound_uri/fingerprints/?' do # collect all features from feature_dataset @features = feature_dataset.features.collect{|f| f } - # search for each fingerprint in all features and collect feature values(smarts, pValue, effect) + # search for each fingerprint in all features and collect feature values( effect, smarts, pValue ) @fingerprint_values.each{ |fi, v| @features.each{ |f| @significant_fragments << [f[RDF::OT.effect].to_i, f[RDF::OT.smarts], f[RDF::OT.pValue]] if fi == f[RDF::OT.smarts] } } + + # pass value_map, important to interprete effect value + prediction_feature_uri = "" + model.parameters.each {|p| + if p[RDF::DC.title].to_s == "prediction_feature_uri" + prediction_feature_uri = p[RDF::OT.paramValue].object + end + } + prediction_feature = OpenTox::Feature.find prediction_feature_uri + @value_map = prediction_feature.value_map + else #regression feature_calc_algo = "" model.parameters.each {|p| @@ -128,11 +139,23 @@ get '/prediction/:model_uri/:type/:neighbor/significant_fragments/?' do # pass feature uris if value > 0 @feat.each do |f| + # search relevant features if f[0] > 0 f = OpenTox::Feature.find f[1] + # pass relevant features with [ effect, smarts, pValue ] @significant_fragments << [f[RDF::OT.effect].to_i, f[RDF::OT.smarts], f[RDF::OT.pValue].to_f.round(3)] end end + # pass value_map, important to interprete effect value + prediction_feature_uri = "" + model.parameters.each {|p| + if p[RDF::DC.title].to_s == "prediction_feature_uri" + prediction_feature_uri = p[RDF::OT.paramValue].object + end + } + prediction_feature = OpenTox::Feature.find prediction_feature_uri + @value_map = prediction_feature.value_map + else # regression # find a value in feature dataset by compound and feature @values = [] |