Poldrack, Russell. "Case Study 29: Developing a Reproducible Workflow for Large-Scale Phenotyping".
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences, edited by Justin Kitzes, Berkeley: University of California Press, 2017, pp. 311-316.
https://doi.org/10.1525/9780520967779-038Poldrack, R. (2017). Case Study 29: Developing a Reproducible Workflow for Large-Scale Phenotyping. In J. Kitzes (Ed.),
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences (pp. 311-316). Berkeley: University of California Press.
https://doi.org/10.1525/9780520967779-038Poldrack, R. 2017. Case Study 29: Developing a Reproducible Workflow for Large-Scale Phenotyping. In: Kitzes, J. ed.
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press, pp. 311-316.
https://doi.org/10.1525/9780520967779-038Poldrack, Russell. "Case Study 29: Developing a Reproducible Workflow for Large-Scale Phenotyping" In
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences edited by Justin Kitzes, 311-316. Berkeley: University of California Press, 2017.
https://doi.org/10.1525/9780520967779-038Poldrack R. Case Study 29: Developing a Reproducible Workflow for Large-Scale Phenotyping. In: Kitzes J (ed.)
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press; 2017. p.311-316.
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