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Bence Szalai

@benceszalai.bsky.social
146 followers 223 following 27 posts

Computational systems biology - research team lead at Turbine. Previously post-doc at RWTH Aachen and Semmelweis.

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Bence Szalai @benceszalai.bsky.social · 01/12/2025
it is that time of the year! #aoc2025 adventofcode.com/2025
adventofcode.com
Advent of Code 2025
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Eric Kernfeld @ekernf01.bsky.social · 28/07/2025
In October 2024, I twote that "something is deeply wrong" with what we now call virtual cell models. A lot has happened since then. How am I updating? New blog post: ekernf01.github.io/virtual-cell...
ekernf01.github.io
A recap of virtual cell releases circa June 2025
In October 2024, I twote that “something is deeply wrong” with what we now call virtual cell models. A lot has happened since then: modelers are advancing new architectures and mining new sources of i...
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Constantin Ahlmann-Eltze @const-ae.bsky.social · 04/08/2025
Our paper benchmarking foundation models for perturbation effect prediction is finally published 🎉🥳🎉 www.nature.com/articles/s41... We show that none of the available* models outperform simple linear baselines. Since the original preprint, we added more methods, metrics, and prettier figures! 🧵
Beeswarm plot of the prediction error across different methods of double perturbations showing that all methods (scGPT, scFoundation, UCE, scBERT, Geneformer, GEARS, and CPA) perform worse than the additive baseline.Line plot of the true positive rate against the false discovery proportion showing that none of the methods is better at finding non additive interactions than simply predicting no change.
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Bence Szalai @benceszalai.bsky.social · 15/07/2025
Our tool, RIDDEN (Receptor actIvity Data Driven inferENce) for predicting #receptor activity from #transcriptomics data is published in PLOS Computational Biology journals.plos.org/ploscompbiol... 1/n
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Bence Szalai @benceszalai.bsky.social · 25/04/2025
Single-cell foundation models, trained on large-scale scRNA-seq datasets, are increasingly used for post-perturbation RNA-seq prediction. But how do they actually perform? Our new paper from @turbine-ai.bsky.social is now out in BMC Genomics. bmcgenomics.biomedcentral.com/articles/10.... 1/5
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Bence Szalai @benceszalai.bsky.social · 25/04/2025
Hello #AACR25 !
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Saez-Rodriguez Group @saezlab.bsky.social · 22/04/2025
We have an opening for a PhD/Postdoc in Spatial Omics for Cardiology in Heidelberg 🫀 #job #academicjob #phd #postdoc #cadiology 👇 jobrxiv.org/job/heidelbe...
jobrxiv.org
PhD/Postdoc in Spatial Omics for Cardiology
Post a job in 3min, or find thousands of job offers like this one at jobRxiv!
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Kris Szalay @kristofszalay.com · 16/04/2025
Turns out the way we usually pre-train foundational cell models adds very little information to the system - definitely not enough to make drug effect predictions work. Not what I've expected. #virtualcells #foundationalmodels #compbio blog.turbine.ai/p/pretrainin...
blog.turbine.ai
Pretraining virtual cells is useless
the way we do it now
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Bence Szalai @benceszalai.bsky.social · 03/04/2025
easter holiday is coming: 2 revised versions submitted today
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Sung Kim @sungkim.bsky.social · 31/03/2025
You’ve probably heard about how AI/LLMs can solve Math Olympiad problems ( deepmind.google/discover/blo... ). So naturally, some people put it to the test — hours after the 2025 US Math Olympiad problems were released. The result: They all sucked!
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Michael Hoffman @michaelhoffman.bsky.social · 30/03/2025
Does @iscb.bsky.social have a statement on this? We need to be there to support bioinformatics researchers.
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Bence Szalai @benceszalai.bsky.social · 30/03/2025
based on some recent papers / presentations, the hill(s) I'll die on: 1) Raw IC50 values != good metrics for comparing cancer drug sensitivity 2) Raw TPMs / counts are meaningless for comparing gene expression similarity 3) Diverging color palettes need a meaningful midpoint.
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Julio Saez-Rodriguez @juliosaezrod.bsky.social · 11/02/2025
Post-doc opening to join our lab @ebi.embl.org to develop&apply #bioinformatics and #machine-learning methods to study intra-/extra cellular networks to extract disease mechanisms from #single-cell and #spatial multiomic data - please share 🙏 : embl.wd103.myworkdayjobs.com/EMBL/job/Hin...
embl.wd103.myworkdayjobs.com
Postdoctoral fellow - Saez-Rodriguez Group
Your group Saez-Rodriguez Research Group Your supervisor Julio Saez-Rodriguez Your role As a postdoctoral fellow in the Saez Rodriguez group, you will develop and apply computational methods and tools...
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Colm Ryan @colmr.bsky.social · 29/01/2025
We will be hosting the International Conference on Systems Biology (ICSB) in Dublin this year – 5-9th October icsb2025.com/registration/ #ICSB2025
Flier for the ICSB2025 conference in Dublin 5-9 October 2025
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Eric Wastl @was.tl · 26/12/2024
It's been over 24 hours since #AdventOfCode 2024 ended! This AoC season: - 273,313 users collected at least one star - 3,654,949 stars were collected Since 2015: - 779 users have all 500 stars - 1,077,226 users collected at least one star - 23,170,305 were collected
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Bence Szalai @benceszalai.bsky.social · 10/12/2024
holiday season is coming: 2 papers submitted today
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Bence Szalai @benceszalai.bsky.social · 09/12/2024
[first 🦋] Receptors are essential for cell-cell communication, yet most comp CCC tools focus on ligand/receptor expression, not receptor activity. To address this, we developed RIDDEN, a model that infers activity for 229 receptors from transcriptomics data. 1/n www.biorxiv.org/content/10.1...
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Bence Szalai @benceszalai.bsky.social · 01/12/2024
I just completed "Historian Hysteria" - Day 1 - Advent of Code 2024 #AdventOfCode adventofcode.com/2024/day/1
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Saez-Rodriguez Group @saezlab.bsky.social · 20/11/2024
We have created a starterpack to make it easier to follow current members and alumni from our lab, check it out 👇 (DM us if we forgot about you) Also juliosaezrod.bsky.social has recently joined Bluesky go.bsky.app/5ZtPHPz
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Saez-Rodriguez Group @saezlab.bsky.social · 11/11/2024
Hi 🦋 This is the saezlab (saezlab.org) bluesky account. We integrate #omics data with mechanistic molecular knowledge into statistical and machine learning #ML methods, and we share our tools as free #opensource packages (github.com/saezlab/) #systemsbiology #biology #compbio
saezlab.org
Saez-Rodriguez GroupSaez-Rodriguez Group – Systems Biomedicine
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