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%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.
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