Martin Garrido-Rodriguez
@martingarridorc.bsky.social
140 followers 96 following 8 posts
Postdoc Fellow at Saez-Rodriguez and Savitski labs (EMBL). Original from Córdoba, Spain.
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Reposted by Martin Garrido-Rodriguez
saezlab.bsky.social
🚨 New preprint

We present an extended version of ScAPE, the method that won one of the prizes 🏆 in the @neuripsconf.bsky.social 2023 Single-Cell Perturbation Prediction challenge.

📄 preprint: doi.org/10.1101/2025...
🧬 code: github.com/scapeML/scape
martingarridorc.bsky.social
Our 2023 SCP model is now out as a manuscript! Curious about a lightweight baseline for your context generalization task? Check it out 👇
saezlab.bsky.social
🚨 New preprint

We present an extended version of ScAPE, the method that won one of the prizes 🏆 in the @neuripsconf.bsky.social 2023 Single-Cell Perturbation Prediction challenge.

📄 preprint: doi.org/10.1101/2025...
🧬 code: github.com/scapeML/scape
Reposted by Martin Garrido-Rodriguez
biorxivpreprint.bsky.social
ScAPE: A lightweight multitask learning baseline method to predict transcriptomic responses to perturbations https://www.biorxiv.org/content/10.1101/2025.09.08.674873v1
Reposted by Martin Garrido-Rodriguez
savitski-lab.bsky.social
So grateful and honored to receive the MCP Lectureship Award at the #ASBMBProteomics meeting at the Broad Institute! Huge thanks to the wonderful organizers and to everyone—past and present—who’s been part of our lab.
Reposted by Martin Garrido-Rodriguez
const-ae.bsky.social
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.
martingarridorc.bsky.social
This project has been in the making for quite some time. CORNETO not only integrates key concepts and methodologies in biological network inference, but also introduces a novel framework for multi-condition analysis. Congrats to the team, and especially to @pablormier.bsky.social for leading this.
saezlab.bsky.social
🎉 The revised version of CORNETO, our unified Python framework for knowledge-driven network inference from omics data, is published in peer reviewed form
🔗 Paper: www.nature.com/articles/s42...
📖 News & Views: www.nature.com/articles/s42...
💻 Code: corneto.org
🧵 Thread 👇
Reposted by Martin Garrido-Rodriguez
saezlab.bsky.social
🎉 The revised version of CORNETO, our unified Python framework for knowledge-driven network inference from omics data, is published in peer reviewed form
🔗 Paper: www.nature.com/articles/s42...
📖 News & Views: www.nature.com/articles/s42...
💻 Code: corneto.org
🧵 Thread 👇
Reposted by Martin Garrido-Rodriguez
ebi.embl.org
How can we find out what’s really going on inside cells when we’re generating so much complex data?

CORNETO is an open-source tool that uses machine learning to turn tangled omics datasets into clear maps of how genes, proteins, and signalling pathways interact.

www.ebi.ac.uk/about/news/r... 🧪
CORNETO: machine learning to decode complex omics data
New tool combines biological knowledge with machine learning to help researchers extract meaningful insights from complex omics data.
www.ebi.ac.uk
Reposted by Martin Garrido-Rodriguez
Reposted by Martin Garrido-Rodriguez
saezlab.bsky.social
The final version of our multi-omics study on kidney fibrosis is out now (tinyurl.com/kidneyfibMSB). Together w/ Pepperkok + Savitski labs @embl.org, we present a time-resolved #multiomics + computational network modeling approach in combination w/ phenotypic assays to study #kidneyfibrosis
Reposted by Martin Garrido-Rodriguez
smuellerdott.bsky.social
Very excited that another chapter of my PhD is finally out! 🎉 We compared methods to infer kinase activities from #phosphoproteomics data so check it out if that sounds interesting to you. More details in the thread below 🧵👇🏼
saezlab.bsky.social
Ever wondered which method to use to infer kinase activities from phosphoproteomics data? 💻💭Our revised comprehensive evaluation of kinase activity inference tools, done in collaboration with the Zhang lab @bcmhouston.bsky.social, is now out @natcomms.nature.com 🔬 tinyurl.com/4twuc6z4
Reposted by Martin Garrido-Rodriguez
saezlab.bsky.social
Ever wondered which method to use to infer kinase activities from phosphoproteomics data? 💻💭Our revised comprehensive evaluation of kinase activity inference tools, done in collaboration with the Zhang lab @bcmhouston.bsky.social, is now out @natcomms.nature.com 🔬 tinyurl.com/4twuc6z4
martingarridorc.bsky.social
Heading back from Boston after attending the Future Developers meeting of the May Institute. Huge thanks to @olgavitek.bsky.social for organizing this meeting, and to all the participants for the great feedback and thoughtful discussions!
Future Developers Meeting – May Institute
computationalproteomics.khoury.northeastern.edu
Reposted by Martin Garrido-Rodriguez
cp-trendsbiochem.bsky.social
Online now - the Spotlight "Accelerating the stride toward functional #glycoproteomics" from @timveth.bsky.social and @nmriley.bsky.social.

#Glycoproteins #Glycoforms #Glycoprofiling #DQGlyco #Glycotime

authors.elsevier.com/a/1l3k53S6Gf...
Reposted by Martin Garrido-Rodriguez
Reposted by Martin Garrido-Rodriguez
tanevski.bsky.social
🚨 New preprint: Topography Aware Optimal Transport for Alignment of Spatial Omics Data

We present our new alignment framework TOAST www.biorxiv.org/content/10.1...
Reposted by Martin Garrido-Rodriguez
saezlab.bsky.social
📄 Update on our preprint about Gene Regulatory Net (GRN) benchmarking 📄
We have included the original and decoupled version of SCENIC+, added a new metric and two more databases. Dictys and SCENIC+ outperformed others, but still performed poorly in causal mechanistic tasks.
doi.org/10.1101/2024... 👇
Performance of multimodal GRN inference methods. SCENIC+ and Dictys outperform others.
Reposted by Martin Garrido-Rodriguez
saezlab.bsky.social
Congrats to our @juliosaezrod.bsky.social and all other elected fellows of the International Society for Computational Biology (ISCB) as part of the 2025 Class
iscb.bsky.social
🌟 Congrats to the 2025 ISCB Fellows! 🌟 Honoring leaders in #computationalbiology for outstanding research, innovation and service. See this year's Fellows and their contributions here: https://t.ly/VYfLk
Reposted by Martin Garrido-Rodriguez
ypriverol.bsky.social
More important, if you have questions like this, other people can benefit from it. You don't need to send an email to pride support, just ask the question in our forum github.com/orgs/PRIDE-A...