You can use the following links and articles to learn more about the topics discussed in this chapter:
- PlinkGPU: A Framework for GPU Acceleration of Whole Genome Data Analysis, J Poznanovic (2010), Master of Science, School of Informatics, University of Edinburgh, http://www.inf.ed.ac.uk/publications/thesis/online/IM100799.pdf
- CUDA-based GPU implementation of the Pearson correlation: https://github.com/TravisCG/CudaCorr.
- gpuCor: Calculate various correlation coefficients with a GPU. This can be found at https://rdrr.io/cran/gputools/man/gpuCor.html.
- GPU-PCC: A GPU Based Technique to Compute Pairwise Pearson's Correlation Coefficients for Big fMRI Data, T Eslami, F Saeed (2018), (online) 7(2), p.11. Available at: https://scholarworks.wmich.edu/cgi/viewcontent.cgi?article=1008&context=pcds_reports.
- Smoking-Related Knowledge, Attitudes, Behaviors, Smoking...
