Integration of GRN inference algorithms using single cell multi-omics data to BEELINE

BEELINE is a bench marking tool that evaluates different methods and models that infer Gene Regulatory Networks (GRN) from Single cell gene expression data. The BLRun package currently incorporates 12 inference algorithms. The primary goal of this project is to expand this to 15 by adding the latest algorithms and test it on new datasets as well. The new algorithms would first be implemented and added to BEELINE as docker containers. These will then be evaluated for performance using the BLEval package and its metrics.