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curl -X POST -d dataset_uri={datset_uri} -d prediction_feature={feature_uri} http://webservices.in-silico.ch/algorithm/fminer
- (feature_uri specifies the dependent variable, e.g. http://www.epa.gov/NCCT/dsstox/CentralFieldDef.html#ActivityOutcome_CPDBAS_Hamster)
+(feature_uri specifies the dependent variable, e.g. http://www.epa.gov/NCCT/dsstox/CentralFieldDef.html#ActivityOutcome_CPDBAS_Hamster)
- Creates a dataset with fminer features (backbone refinement class representatives from supervised graph mining, see http://www.maunz.de/libfminer-doc/). These features can be used e.g. as structural alerts, as descriptors (fingerprints) for prediction models or for similarity calculations.
+Creates a dataset with fminer features (backbone refinement class representatives from supervised graph mining, see http://www.maunz.de/libfminer-doc/). These features can be used e.g. as structural alerts, as descriptors (fingerprints) for prediction models or for similarity calculations.
### Create lazar model
curl -X POST -d dataset_uri={datset_uri} -d prediction_feature={feature_uri} -d feature_generation_uri=http://webservices.in-silico.ch/algorithm/fminer http://webservices.in-silico.ch/test/algorithm/lazar
- (feaure_uri specifies the dependent variable, e.g. http://www.epa.gov/NCCT/dsstox/CentralFieldDef.html#ActivityOutcome_CPDBAS_Hamster)
+(feaure_uri specifies the dependent variable, e.g. http://www.epa.gov/NCCT/dsstox/CentralFieldDef.html#ActivityOutcome_CPDBAS_Hamster)
API documentation
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