Acknowledgements and References
The authors would like to thank and acknowledge the following individuals: Richard Scheuermann, Renee Zhang, Brian Aevermann, and Bruce Wheeler. Their insight and guidance were invaluable to the group’s progress for this project, especially during this year’s circumstances. We cannot thank them enough for the time and effort they have dedicated to our team.
References
ML Pipeline: https://afrozchakure.medium.com/data-preprocessing-3cd01eefd438
SVM: https://learnopencv.com/svm-using-scikit-learn-in-python/
LR: https://www.datacamp.com/community/tutorials/understanding-logistic-regression-python
RF: https://www.freecodecamp.org/news/how-to-use-the-tree-based-algorithm-for-machine-learning/
NN: https://www.kdnuggets.com/2019/02/neural-networks-intuition.html
Video Images:
https://europeanbusinessmagazine.com/editors-choice/big-data-important/
https://www.datanami.com/2015/09/29/using-analytic-pipelines-to-drain-data-swamps/
https://www.meta.org/feed-previews/neuronal-cell-types/c123d900-6409-4b2c-8957-a4b0e8b7e1a0
https://www.biocompare.com/Editorial-Articles/352792-Selecting-a-Sequencing-Method/
https://www.biocompare.com/Editorial-Articles/186497-Hitting-the-Mark-with-Targeted-Sequencing/
https://sigopt.com/blog/common-problems-in-hyperparameter-optimization/
https://developer.nvidia.com/blog/sigopt-deep-learning-hyperparameter-optimization/
https://publichealth.wustl.edu/precision-medicine-research-in-diverse-populations/
Made by Janelle Uy