2025-08-19: Paper Summary: Reproducibility Study on Network Deconvolution

The “reproducibility crisis” in scientific research refers to growing concerns over the reliability and credibility of published findings, in many fields including biomedical, behavioral, and the life sciences ( Laraway et al. 2019 , Fidler et al. 2021 ). Over the past decade, large-scale reproducibility projects revealed failures to replicate findings. For example, in 2015 the Open Science Collaboration reported that a larger portion of replicated studies produced weaker evidence for the original findings despite using the same materials. Similarly, in fields like machine learning researchers may publish impressive new methods, but if others can’t reproduce the results, it hinders progress. Therefore, reproducibility matters. It’s science’s version of fact-checking. In this blog, we’ll break down our recent effort to reproduce the results of the paper Network Deconvolution by Ye et al. (hereafter, "original study"), published in 2020, which claime...