Stegle and Theis Group

Cellular Genetics Programme

We aim to leverage machine learning in the context of single cell genomics to provide a true model-based understanding of the manifold upcoming organ atlases. In particular we will develop and adapt methods from deep learning to find robust latent spaces and then combine this with interpretation models to find gene regulatory patterns.

For more about the two Associate Faculty leading this group, please click on their names:

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With #COVID19 looking increasingly controlled in Germany, many places start coming back to offices - our lab is planning to do this ^slowly^ and only for ~a day/week initially. Organisation difficult though. Does anyone have tips for scheduling socially distanced desks and rooms?

Here is a #ritaunsolicited very long thread on writing good figure legends. These tips might not match everyone’s style, and opinions will certainly vary among editors and journals. This feedback is based on my experience with methods papers, and I hope it helps.