ORT Trainee Workshop Series: R Programming For Beginners

UHN's Office of Research Trainees (ORT)mission is to provide UHN trainees - graduate students and postdoctoral fellows - with the highest possible quality training and learning experience through lab integration, achievement recognition and career development – thus enhancing the quality of research at UHN.For information about the ORT, visit www.uhntrainees.ca!UHN's Office of Research Trainees (ORT)University Health Network (UHN)Tel: 416-634-8775Email: ort.admin@uhnresearch.cawww.uhntrainees.ca

UHN's Office of Research Trainees (ORT)

Programming with R is becoming a standard skill among scientists today. Many scientists want to learn, but don't know where to start.

Princess Margaret Cancer Centre

Workshop Overview:
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.
During the course, we will provide interactive lessons which will include a theoretical understanding of R programming and hands-on coding. Participants will be able to write and work with real code. With the gained knowledge, participants will be ready to take their very own first step in data analysis using R. 
Intended Learning Objectives:
Upon completion of the workshop, the learner will be able to:
<ol><li>
Define the basic R data-types and structures
</li><li>Plot data in R
</li><li>Analyze a data set in R using bio-statistical methods
</li><li>Apply their gained knowledge to evaluate a data set
</li></ol>Pre-requisites:
<ol><li>Participants must bring their laptop for use during the course
.</li><li>No previous knowledge of R or other programming languages is required.</li></ol>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.

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ORT Trainee Workshop Series: R Programming For Beginners

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ORT Trainee Workshop Series: R Programming For Beginners

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