Luna Xingyu Li

TabularQual provides a spreadsheet-based format for annotating logical models, with tools to convert between spreadsheets and SBML-qual, enhancing model reuse and interoperability.

KGBN enhances logical gene regulatory networks by integrating knowledge graphs and experimental data to create context-aware models for drug response prediction in AML.

LM-Merger merges logical gene regulatory network models to improve coverage and predictive accuracy in disease contexts.