Anaïs Baudot
@anaisbaudot.bsky.social
190 followers 450 following 8 posts
scientist, comp & sys bio
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Reposted by Anaïs Baudot
robp.bsky.social
RECOMB 2026 website is up! RECOMB will be in Greece :). recomb.org/recomb2026/ --- no paper deadline yet though...
RECOMB 2026 | HOME
RECOMB 2026 - Thessaloniki, Greece
recomb.org
Reposted by Anaïs Baudot
paulvilloutreix.bsky.social
This work was motivated by settings with scarce data such as rare diseases.

It turned into multi-dimensional puzzles and alignement problems that we really enjoyed solving! Congrats to Daniel Lepe-Soltero, the postdoc who led this work.

Link -> arxiv.org/abs/2503.18856
MODIS: Multi-Omics Data Integration for Small and unpaired datasets
An important objective in computational biology is the efficient integration of multi-omics data. The task of integration comes with challenges: multi-omics data are most often unpaired (requiring dia...
arxiv.org
Reposted by Anaïs Baudot
paulvilloutreix.bsky.social
Very happy to share MODIS - a new Multi-Omics Data Integration method for Small and unpaired datasets!

We solve a long-standing problem in the field: how to perform data integration for small unpaired datasets

Our solution: learning with class imbalance on both reference and target datasets!
Reposted by Anaïs Baudot
paulvilloutreix.bsky.social
Very happy to introduce jsPCA, a fast and interpretable computational framework for spatial transcriptomics that simultaneously identifies spatial domains and variable genes across multi-slice and multi-sample data.
anaisbaudot.bsky.social
Great collaboration with fantastic colleagues :-)
@paulvilloutreix.bsky.social, @cantinilab.bsky.social, Morgane Térézol, and Matthieu Vignes.
anaisbaudot.bsky.social
Excited to share David Hirst's PhD work!
🧬 When you only have a few datasets available for multi-omics integration, for instance because you work on rare diseases, one solution is Transfer Learning. Introducing #MOTL - now available in Genome Biology!

doi.org/10.1186/s130...
MOTL: enhancing multi-omics matrix factorization with transfer learning - Genome Biology
Joint matrix factorization is popular for extracting lower dimensional representations of multi-omics data but loses effectiveness with limited samples. Addressing this limitation, we introduce MOTL (...
link.springer.com
Reposted by Anaïs Baudot
amathelier.bsky.social
🚨 We're hiring! NCMBM @ncmbm.bsky.social is looking for 2 new group leaders to join our vibrant research community. Ready to build your own group with strong support and a solid startup package?

Interested and attending #ISMBECCB2025? Let’s connect!

🔗 www.jobbnorge.no/en/available...
Group Leader (282908) | University of Oslo
Job title: Group Leader (282908), Employer: University of Oslo, Deadline: Monday, September 8, 2025
www.jobbnorge.no
Reposted by Anaïs Baudot
netbio.bsky.social
👋 We wrap up our #NetBio track 2025 with announcing the #Cytoscape network visualization competition winners (woobox.com/b9poce)

Congrats:
1: Alejandra Paulina Perez Gonzalez
2. Michael Costanzo
3. Jong Chan Lim

👏👏👏 Exciting to have Alejandra and Jong in the audience and congrats to Michael!
NetBio Cytoscape Visualization Competition
woobox.com
Reposted by Anaïs Baudot
netbio.bsky.social
🎉 And now it is time to introduce our last and shared keynote with the Microbiome COSI:
@fionabrinkman.bsky.social is talking about "Microbiome multitudes and metadata madness" connecting the #Microbiome and #NetworkBiology communities!

#ISMBECCB2025
Reposted by Anaïs Baudot
netbio.bsky.social
✨ And it's already time for the last selected #NetBio talk! Piotr Sliwa is presenting "Multilayer Networks Identify Clinically Relevant Patient Endotypes in COVID-19 and Sepsis"

#ISMBECCB2025 #NetworkBiology
Reposted by Anaïs Baudot
netbio.bsky.social
#NetBio talks are continuing in room 1B:

Dongmin Bang is presenting his proceeding paper on "MixingDTA: Improved Drug-Target Affinity Prediction by Extending Mixup with Guilt-By-Association"

doi.org/10.1093/bioi...

#ISMBECCB2025 #NetworkBiology
Reposted by Anaïs Baudot
netbio.bsky.social
🔊 Nicoleta Siminea just presented her work on "Interactome-based computational solutions to support personalized drug therapy decisions in glioblastoma" at the #NetBio track at #ISMBECCB2025!
Reposted by Anaïs Baudot
netbio.bsky.social
🎤 Next up is Terence Egbelo
He is sharing his research on "Improving Target-Adverse Event Association Prediction by Mitigating Topological Imbalance in Knowledge Graphs" with the #NetBio audience! ✨

#ISMBECCB2025 #NetworkBiology #KnowledgeGraphs
Reposted by Anaïs Baudot
netbio.bsky.social
✨Johannes Kersting just presented his cool #Nextflow Pipeline for Network-Based Disease Module Identification and Drug Repurposing

nf-co.re/diseasemodul...
github.com/nf-core/dise...
#ISMBECCB2025 #NetworkBiology #NetBio
Reposted by Anaïs Baudot
netbio.bsky.social
📣Last speaker of the #NetBio morning session:
Samuele Firmani is presenting GATE (Graph Antiviral Target Explorer) to predict disease genes in viral infections with Message Passing Neural Networks"

#ISMBECCB2025 #NetworkBiology
Reposted by Anaïs Baudot
netbio.bsky.social
🎤 Next #NetBio talk:
Erik Sonnhammer presents #FunCoup6, an upgrade to the functional association network database, now with enhanced regulatory links, a redesigned interface, and powerful new tools for comparative interactomics and disease module analysis.
funcoup.org
#ISMBECCB2025 #NetworkBiology
Reposted by Anaïs Baudot
netbio.bsky.social
🔊 Next in #NetBio at #ISMBECCB2025
Dewei Hu presents:
SPACE: STRING proteins as complementary embeddings

Cross-species network embeddings meet protein function prediction, leveraging STRING across 1,300+ eukaryotes. A powerful complement to sequence embeddings!

#NetworkBiology
Reposted by Anaïs Baudot
netbio.bsky.social
⌛It's already time for our last #NetBio speaker of today:

✨🔊We are excited to welcome our 2nd keynote speaker Jan Baumbach talking about "Quantum computing for network medicine-based epistatic disease mechanism mining - Fake it till you make it?" ✨

#ISMBECCB2025 #NetworkBiology
Reposted by Anaïs Baudot
netbio.bsky.social
🎤 Next talk at #NetBio is by Aritra Bose from IBM Research presenting their work on "Quantum Random Walks for Biomarker Discovery in Biomolecular Networks".

#ISMBECCB2025 #NetworkBiology
Reposted by Anaïs Baudot
netbio.bsky.social
After lots of #NetBio discussions over coffee, we are now starting the last session for today:
Lucas Gillenwater is presenting his #ISMBECCB2025 proceeding paper "GRACKLE: An interpretable matrix factorization approach for biomedical representation learning".

doi.org/10.1093/bioi...
#NetworkBiology
Reposted by Anaïs Baudot
netbio.bsky.social
🎤 Next talk at #NetBio:
@beatrizurda.bsky.social: Disentangling the genetic and non-genetic origin of disease co-occurrences

#ISMBECCB2025 #NetworkBiology
Reposted by Anaïs Baudot
netbio.bsky.social
🎙️Next #NetBio talk: Kivilcim Ozturk uncovers how mutations in intrinsically disordered regions (IDRs) disrupt protein interactions in cancer, revealing potential cellular vulnerabilities.

#ISMBECCB2025 #NetworkBiology
Reposted by Anaïs Baudot
netbio.bsky.social
🔊 Now presenting in our #NetBio track: Ibrahim Alsaggaf introduces Sup-EGsCL, a contrastive learning method using enhanced Gaussian noise augmentation to better predict gene longevity effects from protein-protein interaction networks.

github.com/ibrahimsagga...

#ISMBECCB2025 #NetworkBiology
Reposted by Anaïs Baudot
netbio.bsky.social
🚨 Excited to announce our first keynote for #NetBio 2025: Laura Cantini (@cantinilab.bsky.social)!

She is sharing cutting-edge work on multi-modal learning for single-cell data integration, tackling how to combine diverse omics and spatial data to unlock new insights into cellular heterogeneity.