Just type your query and select your GO axis : Deep Question Answering for Protein Annotation will screen the 20 most relevant abstracts and display the most associated GO concepts !
The process can take up to 30 seconds.
Find more about DeepQA4PA here...
In standard QA, answers are extracted from some retrieved documents. In Deep QA, curated data are exploited in order to build a supervised classification model, which is then used to curate retrieved documents and generate answers.
In this deep QA demonstrator, no Question Categorization tool is provided ; please specify your GO axis, and the query to be investigated in MEDLINE. For instance, if your question is "What molecular functions are affected by Nitriles ?", please query with Nitriles and select molecular fonctions.
Developped by the BiTeM group - Contact - Last update: august 2015