We apply our expertise in #Statistics and #ML to help answer principal questions in #microbiology and #microbiome. Part of @LMU_Muenchen and @HelmholtzMunich.
Munich, DE
Joined April 2021
- Tweets44
- Following10
- Followers111
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BioDataScience Lab retweeted
I'm excited to share that our paper, 'asteRIa enables robust interaction modeling between chromatin modifications and epigenetic readers,' is now out in NAR!
academic.oup.com/nar/article…
Through statistics and large-scale proteomics data, we disentangle combinatorial epigenetics 👇
BioDataScience Lab retweeted
Considering microbial interactions in prediction tasks is crucial! 🦠📊 Excited about our collaboration with @microbionaut and Jacob Bien. Check out our pre-print: doi.org/10.1101/2024.04.29.5…
BioDataScience Lab retweeted
Had an awesome time presenting our work at #EESAIBio! Feel free to come up and chat and check out our pre-print!
biorxiv.org/content/10.1101/…
Chromatin modifications wield immense power in gene regulation! 🧬 Check out this amazing work just published in @Nature. 🔍 #ChromatinModifications #GeneRegulation
Check out this amazing data resource to study how chromatin modifications regulate protein binding behavior by Bartke lab and @robert_ife 🧬 I'm very proud to be part of this project 👇
🎉 Had a blast at #ISMBECCB2023 last week!
So many inspiring talks, awesome posters and... stairs in Lyon 🇫🇷😃
Excited to put all the amazing ideas we came up with into action!💡🚀
#microbiome #datascience @HelmholtzMunich @LMU_Muenchen
📊 Unveiling Stable Interactions in High-Throughput data!
💡@StadlerMara introduce #robust #statistical workflow:
🔗 Application to interaction effects between chromatin modifications
🧬 Lasso model for hierarchical interactions
🔎 Stability-based model selection
#ISMBECCB2023
🔬✨ Introducing MolE!
Join @Scietwas to witness MolE's empowering chemical compound #analysis 🌐🌟
⚙️ Molecular representation learned through embedding decorrelation
✨ Predicted growth-inhibitory effects against human gut pathogens
#ML #antimicrobial #resistance #ISMBECCB2023
🔍Discover the power of PIMs (compositional power interaction models) in handling @HiTSeq data! 🧬
@JohannesOstner showcases PIMs' capabilities in DA testing with correlated features while respecting zero inflation and compositional constraints 📈🎯 #ISMBECCB2023
🌐Join Viet Tran in Overcoming Statistical Challenges in Microbiome and Single Cell Research! 🏆🧪
📈Innovative Two-Stage Workflow:
1️⃣Hierarchical grouping of microbial or cell-type features
2️⃣Explicit handling of non-compositional covariates
#microbiome #singlecell #ISMBECCB2023
🔬🌿 Reproducible #microbiome #dataanalysis with #QIIME2 🐍 #python!
🔍 q2-gglasso: Sparse microbial network estimation
📈 q2-classo: Sparse log-contrast regression and classification
Join @ovlasovets @microbiome_cosi to hear more about #openscience and #softwaredevelopment🚀💻
🦠Unlocking Hierarchical Relationships in Viral #Metagenomic Data with #VirNest! 🧬
1️⃣ Virus gene-sharing network estimation by leveraging hierarchical protein association
2️⃣ Hierarchical partitions through nested stochastic block model
Join @DanielePugno in unveiling #microbiome
Discover the power of #NetCoMi, the #R package disentangling microbial association #networks! 📊🔬
🦠 Understand complex #microbial interactions
🌱 Statistical network estimation made easy
🔍 Unveil the differences between groups
Don't miss a showcase made by @stefpeschel ⭐
🚴♀️ In addition to our conference participation, a part of our lab is also joining the climate initiative!
🌍 On the way back, we'll cover the distance (~300km, ~1.5km elevation) from Geneva to Basel BY BIKE! 🚲
#GreenTravel2ISMB
🔬 Exciting news!
Our lab is thrilled to be heading to #ISMBECCB2023 next week!
🌟Get ready for a week packed with fascinating talks, knowledge-sharing and networking🤝
We promise to keep you updated on all the latest happenings 📢
@HelmholtzMunich @HIDAdigital @LMU_Muenchen
🔬 Today was an incredible day at @deng_lab!
Huge thanks to @JinlongRu, @KhanMirzaei, @Scietwas, @soph_eliza94, and @DanielePugno for sharing their expertise. Looking forward to new collaborations and more exciting discussions in the future🙌
#virome #microbiome @HelmholtzMunich
BioDataScience Lab retweeted
That went by quickly! Already starting the last week of my three-month research stay at @USCMarshall. Together with Jacob Bien and @microbionaut, we explored how to model compositional high-throughput sequencing data in a meaningful way. Stay tuned!
Our lab @IEM_Augsburg in Universität Klinikum #Augsburg. We SAW where skin #microbiome data comes from, and now will think twice before "df.dropna()" any samples🙀. Big thanks to @amedeodetomassi for an amazing lab tour, Luise Rauer and their colleagues for making it possible😎👍
BioDataScience Lab retweeted
We @BioDataSc have open positions for PhD/Postdocs at the interface of statistics, optimization, and microbiome data analysis #stats, #optimization, #microbiome, #datascience, #oceanmicrobiome #gutmicrobiome @CompHealthMuc @LMU_Muenchen; PM me or send an email for more info!!
Please, meet @Scietwas (Roberto), @SharmaLab1, @AnaRitaBrochad1 and Victoria - a data generation 🤖 from the clip.
They expect to have data for over 200k experiments for
#StressRegNet project which is a part of @bayresq ’s effort to tackle #antibiotic resistance💊💪.
Today we had our first #microbiome day🦠 at @HelmholtzMunich 🎉🎉🎉.
Great talks, lots of inspiration and potential for collaboration💡
Big thanks to the organizers and everyone who enjoyed this day together with us.
Stay tuned!📡
@CompHealthMuc @MunichDS @LMU_Muenchen
