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.
Some parts of the video lecture are based on the reasoning in Storey&Tibshirani, which is mandatory reading for the lecture, just as well studied 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 Saturday 23/1 21:00:
- 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.