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Simon Anders

@s-anders.bsky.social

physicist, bioinformatics / biostats researcher at University of Heidelberg

120 Followers  |  92 Following  |  1 Posts  |  Joined: 23.09.2024  |  1.6792

Latest posts by s-anders.bsky.social on Bluesky

Will never get over the fact that some with only a faint idea of what an informative test would look like think hypothesis tests are the only valid mode of doing science

“[elaborate theoretical reasoning] thus, x & y [which are obviously correlated for trivial reasons] should correlate > 0”

09.07.2025 13:17 — 👍 13    🔁 2    💬 1    📌 0
Preview
Powerful CRISPR system inserts whole gene into human DNA ‘Directed’ evolution in the laboratory creates an editing tool that outperforms classic CRISPR systems.

www.nature.com/articles/d41...
Coverage of our collaboration with the Liu group..
' “This is crazy directed evolution!” - Makoto Saito'

16.05.2025 17:54 — 👍 50    🔁 13    💬 0    📌 1
Post image

Abstract submissions are now open for the European Bioconductor Conference (EuroBioC2025), 17-19 September 2025 in Barcelona.
This event will bring together the Bioconductor community in Europe to advance bioinformatics, data science, and open-source software.

eurobioc2025.bioconductor.org

28.02.2025 15:07 — 👍 9    🔁 6    💬 0    📌 0

Registrations are now open! Follow the link at
csama2025.bioconductor.eu/registration...

03.02.2025 12:59 — 👍 6    🔁 3    💬 0    📌 0
HEALTH + LIFE SCIENCE ALLIANCE | Interinstitutional Postdocs

Post-doc positions in biomedical research available in Heidelberg: www.health-life-sciences.de/opportunitie...

(This is a funding scheme for joint projects of research group at University, University Hospital, EMBL and/or DKFZ).

03.02.2025 10:39 — 👍 2    🔁 0    💬 0    📌 0

This is the result of my brief postdoc with Simon Anders in the last 6 months and grew out of an intriguing reviewer comment for the LEMUR paper with @wkhuber.bsky.social :)

20.09.2024 09:40 — 👍 3    🔁 2    💬 0    📌 0
Beeswarm plot of the double perturbation predictions. The Additive model outperforms GEARS, scGPT, and scFoundation by a large margin

Beeswarm plot of the double perturbation predictions. The Additive model outperforms GEARS, scGPT, and scFoundation by a large margin

Line plot of the accuracy of the predictions that are most different from the additive model. The No Change model outperforms GEARS, scGPT, and scFoundation.

Line plot of the accuracy of the predictions that are most different from the additive model. The No Change model outperforms GEARS, scGPT, and scFoundation.

Beeswarm plot of the single perturbation predictions. The linear model perform as good as GEARS, scGPT, and scFoundation.

Beeswarm plot of the single perturbation predictions. The linear model perform as good as GEARS, scGPT, and scFoundation.

There's a lot of excitement about foundation models and their ability to learn biology 🧬💻

But current tools for perturbation prediction perform worse than simple linear models! We need more careful benchmarking to make progress.

www.biorxiv.org/content/10.1...

20.09.2024 09:39 — 👍 21    🔁 11    💬 2    📌 0

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