🎉 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 ⭐

🔬 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

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😎👍