作者: Berend Snijder , Prisca Liberali , Mathieu Frechin , Thomas Stoeger , Lucas Pelkmans
DOI: 10.1038/NMETH.2655
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摘要: Systems biology aims to unravel the vast network of functional interactions that govern biological systems. To date, inference gene from large-scale 'omics data is typically achieved using correlations. We present hierarchical interaction score (HIS) and show HIS outperforms commonly used methods in between genes measured experiments, making it a valuable statistic for systems biology.