
Bioinformatics/Biostatistics Researcher @simon_anders@mstdn.social
Heidelberg, Germany
Joined July 2016
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Simon Anders retweeted
Great thread by Anshul, one of the pioneers of deep learning for biology, summarizing our preprint!
biorxiv.org/content/10.1101/…
Nice benchmark of single cell "foundation models" (scGPT, scFoundation) and GEARS (a GNN model) further hyped as "virtual cell models" against linear baselines on perturbation prediction.
Long-story short: they can't beat the linear baselines. 1/
Simon Anders retweeted
This is the result of my brief postdoc with @s_anders_m in the last 6 months and grew out of an intriguing reviewer comment for the LEMUR paper with @wolfgangkhuber.
Simon Anders retweeted
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.
biorxiv.org/content/10.1101/…
New preprint from our group:
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.
biorxiv.org/content/10.1101/…
Simon Anders retweeted
🎉 Excited to share our latest study in @nature, showing that DNA🧬 #methylation is key to stemness in the adult #brain: nature.com/articles/s41586-0…
A collaboration with @s_anders_m, driven by @LPMKremer and @SCerrizuela. #epigenetics #neuroscience #singlecell. Pre-print summary 🧵👇

ALT Top: Schematic depiction of genes involved in astrocyte function and neurogenesis, and their methylation and gene expression status in different cell states. Bottom: We propose that DNA methylation locks common parenchymal astrocytes in their astrocyte fate by repressing genes required for neurogenesis. By contrast, these genes are demethylated in NSCs, which permits their progression along the neurogenic lineage.
We're excited to share our latest preprint where we use #singlecell #multiomics to show that stemness is encoded in the methylome of neural #stemcells (NSC) in the adult #brain 🐁🧠
#epigenetics #neuroscience #biorxiv_neursci
👉doi.org/10.1101/2022.07.13.4…
🧵1/9
Simon Anders retweeted
And read the Research Briefing here:
nature.com/articles/s41592-0…
Simon Anders retweeted
.@LPMKremer, @molneurolab, @s_anders_m and colleagues introduce a data processing approach along with an easy-to-use software tool MethSCAn for scBS-seq data analysis.
nature.com/articles/s41592-0…
Simon Anders retweeted
We're so excited to share our latest work “Identification of astrocyte-driven pseudolineages reveals clinical stratification and therapeutic targets in #Glioblastoma” spearheaded by @OghuzhanKaya on the wet & @LCForst on the dry lab as a preprint @Biorxiv biorxiv.org/content/10.1101/…
Simon Anders retweeted
Physicist Suvrat Raju shared this letter he sent to an editor of Nature Communications, declining to referee for them.
Simon Anders retweeted
“Is Science Self-Correcting? Evidence from 5 Recent Papers on the Effect of Replications on Citations.”
replicationnetwork.com/2023/…
Simon Anders retweeted
Thanks chromatin community! We’ve been digging around in your repetitive DNA (>40,000 ChIP-seq samples) and have discovered a totally unexpected role for BRD4 and JQ1 at centromeres. Very happy to share our preprint. biorxiv.org/content/10.1101/…
PhD and postdoc postions for computational biologists, in the labs of @s_anders_m (me) and @molneurolab (A. Martin-Villalba): Single-cell omics methods in neurobiology. dkfz.de/en/neurobiologie-von…
Life science postdoc positions in Heidelberg:
health-life-sciences.de/post…
Simon Anders retweeted
Replying to @LPMKremer
@LPMKremer presenting our latest study on epigenetic features of adult neural stem cells at #TCESRC22 on Sicily 🌅, organized by @BrunetLab and @giacomo_cavalli.
We're excited to share our latest preprint where we use #singlecell #multiomics to show that stemness is encoded in the methylome of neural #stemcells (NSC) in the adult #brain 🐁🧠
#epigenetics #neuroscience #biorxiv_neursci
👉doi.org/10.1101/2022.07.13.4…
🧵1/9
Simon Anders retweeted
cellpypes - cell type pipes for R. Annotate scRNAseq data manually with simple rules:
Simon Anders retweeted
The current system of journals and peer review is not serving science. I have therefore resigned from all editorial roles and will no longer do pre-publication peer review. I explain why in this article and in the thread below. Please consider joining me.
neural-reckoning.org/reviewi…
Just started using @TrostNils's R package for plotting 3D scatter points (and more). It's very convenient, powerful and useful.
babyplots - my tool for interactive 3D plots - is now available at bp.bleb.li! Available as a #JavaScript library, an #RStats package, a #PowerPoint add-in and as in interactive creator. Check out some examples: bp.bleb.li/viewer?p=E-WVj
A thread by @mikelove on best practices for QC before DGE analyses -- prompted by a recent paper claiming that edgeR, DESeq2 etc have spurious false positives (but only if you omit QC as he shows)



















