%dl#lazar_algorithm %dt %code lazar prediction ( = hide_link "#lazar_algorithm" ) %dd %p %code lazar searches the training dataset for = toggle_link "#similarity", "similar" compounds %em (neighbors) and calculates the prediction from their measured activities. %code lazar calculates predictions using %ul %li a majority vote (weighted by compound similarity) for %em classification ( %a{:href => "http://www.in-silico.de/articles/modi020905.pdf", :rel => "external"} original publication ) %li a local QSAR model based on neighbors for %em regression ( %a{:href => "http://www.in-silico.de/articles/mh_tf.pdf", :rel => "external"} original publication ) %p = toggle_link "#significant_fragments", "Significant fragments" are highlighted in the structure display as follows: - if @value_map.empty? %ul %li .active activating fragments %li .inactive deactivating fragments %li .inconclusive regions, where activating and deactivating fragments overlap %li .other inert parts - else %ul %li .active= "features that occur predominately in compounds with activity: \"#{@value_map[@value_map.keys.sort.last]}\"" %li .inactive= "features that occur predominately in compounds with activity: \"#{@value_map[@value_map.keys.sort.first]}\"" %li .inconclusive regions, where fragments from different classes overlap %li .other inert parts - if @value_map.size > 2 .notice Incomplete implementation of feature highlighting and display of significant fragments. Only features for 2 classes are shown! %p Please keep in mind that predictions are based on the measured activities of neighbors. = toggle_link "#significant_fragments", "Significant fragments" are solely used to determine = toggle_link "#similarity", "activity specific similarities" of neighbors.