Stefan Peidli

49 posts

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Stefan Peidli

Stefan Peidli

@SPeidli

German single-cell nerd

Heidelberg Katılım Ekim 2019
274 Takip Edilen118 Takipçiler
Stefan Peidli retweetledi
Thomas Norman
Thomas Norman@thenormanlab·
My lab at MSKCC in New York is hiring for two positions. Join us at the frontier of functional genomics, studying fibroblast state transitions, combinatorial genetics, and ECM in disease. Please share with anyone who might be a good fit! (Mustache not required.)
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Harald
Harald@harald_voeh·
🧵 Excited to share our latest work: scPCA — a flexible factorization model for single-cell data that integrates both cellular heterogeneity and experimental condition effects! 🚀 Let's dive in! (1/9)
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Lukas Heumos
Lukas Heumos@LukasHeumos·
I'm stoked to announce our new end-to-end framework for perturbation analysis! Our scverse advisory committee highlighted that a maintained and well-documented framework for perturbation analysis is missing. Pertpy is our attempt to satisfy this request biorxiv.org/content/10.110…
Lukas Heumos tweet media
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Stefan Peidli
Stefan Peidli@SPeidli·
The example script in the repo just pseudobulks all cells from each perturbation in each datasets and saves the resulting count matrices.
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Stefan Peidli
Stefan Peidli@SPeidli·
Are you developing or benchmarking methods for single-cell perturbation data? I've written a very simple example pipeline in snakemake that auto downloads all (/selected) datasets from scperturb and applies your custom script to each of them in parallel: github.com/stefanpeidli/s…
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Stefan Peidli
Stefan Peidli@SPeidli·
Check out datavzrd, super useful tool for making tables pretty for showing on the web. I used it to make a simple metadata table for a database, see here: projects.sanderlab.org/scperturb/data…
Johannes Köster (@johanneskoester.bsky.social)@johanneskoester

#datavzrd, our tool for rendering modern interactive, visual, server-free, tabular scientific HTML reports with zero/low-code (datavzrd.github.io), now has a tutorial (1-2h): datavzrd.github.io/docs/tutorial.….

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Emanuel Wyler
Emanuel Wyler@ewyler·
Out now: "Single-cell-resolved interspecies comparison shows a shared inflammatory axis and a dominant neutrophil-endothelial program in severe COVID-19" cell.com/cell-reports/f… (Graphics: Polygraph Design) (1/7)
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CompCancer
CompCancer@CompCancerRTG·
Congratulations to CompCancer graduate @Speidli for the publication in Cell Reports, covered by German newspaper @Tagesspiegel: Warum Covid-19 mal schwer und mal mild verläuft: Immunzellen, die sich nicht deaktivieren lassen tagesspiegel.de/gesundheit/war…
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idol2vec
idol2vec@deugledeugle·
@SPeidli I am a researcher in the field of ST(Spatial Transcriptomics) and SCT (Single Cell Transcriptomics). I could not gain access to your paper. Can I request one? thanx, it would help me a lot.
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Stefan Peidli
Stefan Peidli@SPeidli·
@aksbioinfo @the_tessallator Good question! We think of the E-distance as a way to measure signal-to-noise ratio. Cells labeled as perturbed but actually having escaped perturbation (as expected in e.g. cas9 screens) might "water down" this ratio. So running mixscape to remove them would be advisable.
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Ashwini Kumar Sharma
Ashwini Kumar Sharma@aksbioinfo·
@the_tessallator Beautiful work ! wanted to know if E stats circumvents the need to perform Mixscape based filtering of non perturbed cells as was done in Papalexi et.al to identify perturbation signals confounded by noise. (1/2)
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Tessa Green
Tessa Green@the_tessallator·
"scPerturb: harmonized single-cell perturbation data" is out now in Nature Methods!
Tessa Green tweet media
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Cellarity
Cellarity@cellaritybio·
For our 3rd competition for #NeurIPS2023, we’re asking: can you predict a new algorithm for how cells respond to a drug treatment?​ Learning how #singlecells respond to perturbations will help support more efficient drug design. See more on Kaggle: kaggle.com/competitions/o…
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Yann LeCun
Yann LeCun@ylecun·
The US is notorious for it's mass shootings, but its immigration policies (or lack thereof) set a new standard for the art of shooting yourself in the foot with a bazooka. Advice to graduate students from countries the US doesn't like: just go to Europe.
Masoud@linguistMasoud

I’m quite used to the cruelty students can face when they apply for a US visa but this one broke me. We offered admission to a stellar, talented & hardworking student. After months of work and hundreds of dollars, an embassy officer saw him for 5 mins & said no. why? …

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Stefan Peidli
Stefan Peidli@SPeidli·
Cluster analysis is the first thing most PhD students do when working with scRNAseq data because it's simple and part of scanpy/seurat's tutorials. But often enough data does not actually allow clustering because it is too homogeneous (e.g. cell lines)!
Rafael Irizarry@rafalab

Clustering algorithms report clusters even when none exist. In single-cell RNA-Seq pipelines, novel cell types are often identified by clustering algorithms. Expanding on Kimes et al.'s work, we introduce significance analysis for single-cell RNA-Seq data: nature.com/articles/s4159…

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Mo Lotfollahi
Mo Lotfollahi@mo_lotfollahi·
Thrilled to announce my new role in addition to academic appointments as Director of ML Research at @RelationRx! Exciting times are ahead for ML and drug discovery. Grateful for the opportunity to collaborate with @mmbronstein, @wildtypehuman, @doctordindsay, and @welshmanofkent.
Relation@RelationRx

We are delighted to announce that @mo_lotfollahi is joining us. Mo is an accomplished researcher developing cutting-edge ML algorithms to understand, predict and engineer cellular behaviours, with an emphasis on their applications in drug discovery using single-cell technologies

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Stefan Peidli
Stefan Peidli@SPeidli·
@Karl_Lauterbach Da kriegt man richtige Marie-Antoinette vibes, wenn ein Minister sowas tweetet. Eigentlich geht es bei dem Streik auch weniger ums Geld dachte ich...
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Prof. Karl Lauterbach
Prof. Karl Lauterbach@Karl_Lauterbach·
Großer Apotheker Streik vor meinem Büro. Sie skandieren „…wir sind viele, wir sind laut, weil er uns die Kohle klaut…“
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Ramon Massoni Badosa
Ramon Massoni Badosa@rmassonix·
Cell-cell communication analyses are the most overinterpreted analyses in single-cell genomics
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