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authorChristoph Helma <helma@in-silico.ch>2017-01-11 08:24:23 +0100
committerChristoph Helma <helma@in-silico.ch>2017-01-11 08:24:23 +0100
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#### Experiment with other datasets, endpoints and algorithms
- You can pass training_dataset, prediction_feature and algorithms parameters to the `Model::Validation.create_from_enanomapper` command. The [API documentation](http://rdoc.info/gems/lazar) provides detailed instructions.
+ You can pass training_dataset, prediction_feature and algorithms parameters to the `Model::Validation.create_from_enanomapper` command. The [API documentation](http://rdoc.info/gems/lazar) provides detailed instructions. Detailed documentation and validation results can be found in this [publication](https://github.com/enanomapper/nano-lazar-paper/blob/master/nano-lazar.pdf).
Documentation
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