ICGEB (5 Mar. 2019)
Machine Learning in Cancer Research
§ Tools & Programs to be installed before the course
Software: Practical implementation requires installation of Wolfram Mathematica (R). Egyptian participants can obtain a limited free license from Egyptian Knowledge Bank. Other participants can obtain a 15 days trial from here
§ Lecture Materials
§ Recommended Readings
§ Recommended Videos
§ Recommended Tutorials
Software: Practical implementation requires installation of Wolfram Mathematica (R). Egyptian participants can obtain a limited free license from Egyptian Knowledge Bank. Other participants can obtain a 15 days trial from here
§ Lecture Materials
- Introduction to Machine learning (TBA)
- Hands on programming with Mathematica (TBA)
§ Recommended Readings
- Machine learning applications in cancer prognosis and prediction (http://dx.doi.org/10.1016/j.csbj.2014.11.005)
- A primer on deep learning in genomics (https://doi.org/10.1038/s41588-018-0295-5)
§ Recommended Videos
- Machine Learning in Cancer Research (YouTube)
- Deep Learning for Genomics (YouTube)
§ Recommended Tutorials
- Machine Learning Basics (by Wolfram)
- An Overview of Machine Learning in the Wolfram Language (by Wolfram)
- Machine Learning Is The Future Of Cancer Prediction
- Deep learning using Caffe
