Statistics for High-Throughput Experiments

We have replaced the traditional lecture on statistics of high-throughput data with a video lecture, as well as a questions and answers lecture.

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https://www.youtu.be.com/watch?v=0Q8sIk92KbE/gcWri7FyEX0¶

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Some parts of the video lecture are based on the reasoning in Storey&Tibshirani, which is good tomandatory reading for the lecture, just as well studyied side-by-side with the lecture.

You will have to study this material before the first computer exercise, as that exercise will deal with FDR and q-value estimation. We would hence require you to send an e-mail to Lukas Käll at least before theSaturday 23/1 20.1:00:

* Descriptions of three concepts we list in the video lecture, selected according to your own preference. Each concept should be described in one or two sentences.
* At least two questions about the content in the lecture that you would like us to discuss at the question and answer lecture.