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April 14th, 2025
Version: 1
University of Gothenburg
neuroscience
biorxiv

BRAPH 2: a flexible, open-source, reproducible, community-oriented, easy-to-use framework for network analyses in neurosciences

Chang, Y.-W.Open in Google Scholar•Zufiria-Gerboles, B.Open in Google Scholar•Gomez-Ruiz, P. E.Open in Google Scholar•Canal-Garcia, A.Open in Google Scholar•Zhao, H.Open in Google Scholar•Mijalkov, M.Open in Google Scholar•Braga Pereira, J.Open in Google Scholar•Volpe, G.Open in Google Scholar

As network analyses in neuroscience continue to grow in both complexity and size, flexible methods are urgently needed to provide unbiased, reproducible insights into brain function. BRAPH 2 is a versatile, open-source framework that meets this challenge by offering streamlined workflows for advanced statistical models and deep learning in a community-oriented environment. Through its Genesis compiler, users can build specialized distributions with custom pipelines, ensuring flexibility and scalability across diverse research domains. These powerful capabilities will ensure reproducibility and accelerate discoveries in neuroscience.

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