Automated metadata suggester (McDougal et al 2018)

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Accession:195555
This code provides an abstract processing method that predicts keywords for model entries in ModelDB.
Reference:
1 . McDougal RA, Dalal I, Morse TM, Shepherd GM (2019) Automated Metadata Suggestion During Repository Submission. Neuroinformatics 17(3):361-371 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: Python;
Model Concept(s): Methods;
Implementer(s): McDougal, Robert [robert.mcdougal at yale.edu];
This is the code for the methods associated with the article

McDougal RA, Dalal I, Morse TM, Shepherd GM (2018) Automated metadata suggestion
during repository submission, Neuroinfomatics.
https://doi.org/10.1007/s12021-018-9403-z

This python computer code was contributed by R McDougal.
Please see the enclosed license.

The code use regular expression patterns to identify candidate keywords for
models in ModelDB.

Please direct any questions to robert dot mcdougal at yale dot edu.

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