Date
June 27, 2019 | 2-6pm
Presenters
Dr. Wail Ba-Alawi is a postdoctoral fellow in Dr. Haibe-Kains’s lab at Princess Margaret Cancer Centre. He holds a Ph.D. in computer science with a focus on machine learning and its applications in computational biology from King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. His current focus is in pharmacogenomics and building interpretable machine learning models that can predict drug sensitivity.
Dr. Arvind Mer is a postdoctoral fellow at Haibe-Kains’s lab, Princess Margaret Cancer Centre, working in the field of cancer pharmacogenomics and machine learning. He has more than 8 years of experience in R programming. Dr. Mer has recently developed an R tool called Xeva for management and analysis of patient-derived xenograft data. He is passionate about analyzing and interpreting data using machine learning and data visualization.
Description
In this workshop, participants will learn how to use R for data analysis. We will start from the basics, by first introducing participants to the fundamentals of R programming such as variables and conditional statements. They will also learn how to visualize data beautifully using R. Building upon this, participants will perform a statistical analysis of real biological data.
Upon completion of the workshop, the learner will be able to:
- Define the basic R data-types and structures
- Plot data in R
- Analyze a data set in R using bio-statistical methods
- Apply their gained knowledge to evaluate a data set
Click here to register.
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