the Gene Ontology Categorizer
dictionary based computes similarities between an input text and the Gene Ontology (concepts and synonyms).
machine learning computes similarities between an input text and already curated instances contained in its knowledge base derived from GOA in order to predict GO concepts. A
is worth a thousand words.
Please feel free to test
: just type a free text (or an abstract), choose a model, and run ! You also can try
, a complete pipeline for curation with full texts.
Your text :
Machine Learning (predictive)
Managing the data deluge: data-driven GO category assignment improves while complexity of functional annotation increases
Gobeill J, Pasche E, Vishnyakova D and Ruch P
Database (2013), doi: 10.1093/database/bat041
GOCat as an API
for automatic requests.
Parameters are queryTXT=[inputText] (the query), json (for a json output), and cat=[db|ml|mx] for the model.