Benchmarking Procedures for High-Throughput Context Specific Reconstruction Algorithms

What is it about?

Context-specific reconstruction algorithms were never validated in a unbiased manner against others competing algorithms in human. Here we propose benchmark procedures using artificial and real data.

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Why is it important?

The studies offers a workflow to assess context-specific algorithms in unbiassed manner and eventually it allows improving existing and future algorithms.