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Found 5 papers, 0 papers with code
Context-aware query design combines knowledge and data for efficient reading and reasoning
The amount of biomedical literature has vastly increased over the past few decades.
Automating Knowledge-Driven Model Recommendation: Methodology, Evaluation, and Key Challenges
There is significant interest in using existing repositories of biological entities, relationships, and models to automate biological model assembly and extension.
New advances in the automation of context-aware information selection and guided model assembly
The automated assembly and extension of dynamic network models using information extracted from literature are challenging due to the amount and inconsistency in published literature.
Guided assembly of cellular network models from knowledge in literature
Computational modeling is crucial for understanding and analyzing complex systems.
ACCORDION: Clustering and Selecting Relevant Data for Guided Network Extension and Query Answering
To evaluate our approach, we compare the model that we obtained, using our automated model extension approach, with the previously published manually extended T cell differentiation model.
