Holdgraf, Chris. "Case Study 7: Feature Extraction and Data Wrangling for Predictive Models of the Brain in Python".
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. 139-148.
https://doi.org/10.1525/9780520967779-016Holdgraf, C. (2017). Case Study 7: Feature Extraction and Data Wrangling for Predictive Models of the Brain in Python. In J. Kitzes (Ed.),
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences (pp. 139-148). Berkeley: University of California Press.
https://doi.org/10.1525/9780520967779-016Holdgraf, C. 2017. Case Study 7: Feature Extraction and Data Wrangling for Predictive Models of the Brain in Python. In: Kitzes, J. ed.
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press, pp. 139-148.
https://doi.org/10.1525/9780520967779-016Holdgraf, Chris. "Case Study 7: Feature Extraction and Data Wrangling for Predictive Models of the Brain in Python" In
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences edited by Justin Kitzes, 139-148. Berkeley: University of California Press, 2017.
https://doi.org/10.1525/9780520967779-016Holdgraf C. Case Study 7: Feature Extraction and Data Wrangling for Predictive Models of the Brain in Python. 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.139-148.
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