This repository contains the materials for the course on Data Analysis for Life Sciences taught at Heidelberg university for the DSCB major.
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Sign in to the moodle course for this course
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For the course you need to bring a laptop with the following installed:
- R - If you already have an existing installation of R, please make sure that your R version is 4.3.
- RStudio
If you have problems with the installation, take a look at this video on how to install R and RStudio.
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Once you have installed R and RStudio, please go to the exercises page. There you will find two exercises to verify that everyone has a working R installation setup before the course and provides a recap on first steps in R. Please take a look at both exercises before November 1 and hand in the output via moodle (see details in the exercises)
If you encounter any problems, get help via moodle.
Recommended book for further reading include:
- Data Analysis for Life Science by Rafael Irizarry and Mike Love. (You can move the slider to 0$ to get a free copy. In the pdf version you will can also find links to Rmd-Documents that were used to generate the book and can be used to directly re-run and experiment with the code. Several of the exercises in this course are based on this book.)
- Modern Statistics for Modern Biology by Susan Holmes and Wolfgang Huber
- An introduction to statistical learning by James, Witten, Hastie and Tibshirani with video lectures available here
Here you will find the exercises for our course.