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Published 20 hours ago • verified publisher icon KHP-Informatics
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Predicting adverse drug reactions from a knowledge graph

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cross validation does not work in py3 version

dbeanm avatar dbeanm

bug

break tied weights by preferring the weights that give known nodes the higher average score

dbeanm avatar dbeanm

update xv_parallel to handle new exceptions that are raised

dbeanm avatar dbeanm

update xv_parallel example to use the demo data in the repo

dbeanm avatar dbeanm

counts are incorrect in filtering step if source and target have the same type

filterNetworksByCommonSource prints a count for source nodes using networkA['sourcenodes'] = networkA['graph'].vs(type_eq=networkA['sourcetype'])['name'] however if sourcetype and targettype are the same, this will be the count of ALL nodes, not just source...

dbeanm avatar dbeanm

move require_all_predictors to a parameter

#3

dbeanm avatar dbeanm

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verified publisher icon KHP-Informatics

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Predicting adverse drug reactions from a knowledge graph

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