Sparse and compositionally robust inference of microbial ecological networks von Kurtz, Zachary D, Müller, Christian L, Miraldi, Emily R, Littman, Dan R, Blaser, Martin J, Bonneau, Richard A

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NetCoMi: network construction and comparison for microbiome data in R von Peschel, Stefanie, Müller, Christian L, von Mutius, Erika, Boulesteix, Anne-Laure, Depner, Martin

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Perspective functions: Proximal calculus and applications in high-dimensional statistics von Combettes, Patrick L., Müller, Christian L.

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Microbial Networks in SPRING - Semi-parametric Rank-Based Correlation and Partial Correlation Estimation for Quantitative Microbiome Data von Yoon, Grace, Gaynanova, Irina, Müller, Christian L

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Tree-aggregated predictive modeling of microbiome data von Bien, Jacob, Yan, Xiaohan, Simpson, Léo, Müller, Christian L.

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A randomization-based causal inference framework for uncovering environmental exposure effects on human gut microbiota von Sommer, Alice J, Peters, Annette, Rommel, Martina, Cyrys, Josef, Grallert, Harald, Haller, Dirk, Müller, Christian L, Bind, Marie-Abèle C

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Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering von Ullmann, Theresa, Peschel, Stefanie, Finger, Philipp, Müller, Christian L, Boulesteix, Anne-Laure

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Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing von Äijö, Tarmo, Müller, Christian L, Bonneau, Richard

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A single early-in-life macrolide course has lasting effects on murine microbial network topology and immunity von Ruiz, Victoria E., Battaglia, Thomas, Kurtz, Zachary D., Bijnens, Luc, Ou, Amy, Engstrand, Isak, Zheng, Xuhui, Iizumi, Tadasu, Mullins, Briana J., Müller, Christian L., Cadwell, Ken, Bonneau, Richard, Perez-Perez, Guillermo I., Blaser, Martin J.

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Fungi stabilize connectivity in the lung and skin microbial ecosystems von Tipton, Laura, Müller, Christian L, Kurtz, Zachary D, Huang, Laurence, Kleerup, Eric, Morris, Alison, Bonneau, Richard, Ghedin, Elodie

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STENCIL-NET for equation-free forecasting from data von Maddu, Suryanarayana, Sturm, Dominik, Cheeseman, Bevan L., Müller, Christian L., Sbalzarini, Ivo F.

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Antibiotic perturbation of the murine gut microbiome enhances the adiposity, insulin resistance, and liver disease associated with high-fat diet von Mahana, Douglas, Trent, Chad M, Kurtz, Zachary D, Bokulich, Nicholas A, Battaglia, Thomas, Chung, Jennifer, Müller, Christian L, Li, Huilin, Bonneau, Richard A, Blaser, Martin J

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4C-ker: A Method to Reproducibly Identify Genome-Wide Interactions Captured by 4C-Seq Experiments von Raviram, Ramya, Rocha, Pedro P, Müller, Christian L, Miraldi, Emily R, Badri, Sana, Fu, Yi, Swanzey, Emily, Proudhon, Charlotte, Snetkova, Valentina, Bonneau, Richard, Skok, Jane A

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Identifying direct contacts between protein complex subunits from their conditional dependence in proteomics datasets von Drew, Kevin, Müller, Christian L, Bonneau, Richard, Marcotte, Edward M

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Regression Models for Compositional Data: General Log-Contrast Formulations, Proximal Optimization, and Microbiome Data Applications von Combettes, Patrick L., Müller, Christian L.

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Proteomic profiling of longitudinal changes in kidney function among middle-aged and older men and women: the KORA S4/F4/FF4 study von Lin, Jie-Sheng, Nano, Jana, Petrera, Agnese, Hauck, Stefanie M, Zeller, Tanja, Koenig, Wolfgang, Müller, Christian L, Peters, Annette, Thorand, Barbara

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Ocean mover's distance: using optimal transport for analysing oceanographic data von Hyun, Sangwon, Mishra, Aditya, Follett, Christopher L, Jonsson, Bror, Kulk, Gemma, Forget, Gael, Racault, Marie-Fanny, Jackson, Thomas, Dutkiewicz, Stephanie, Müller, Christian L, Bien, Jacob

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Fused Regression for Multi-source Gene Regulatory Network Inference von Lam, Kari Y, Westrick, Zachary M, Müller, Christian L, Christiaen, Lionel, Bonneau, Richard

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tascCODA: Bayesian Tree-Aggregated Analysis of Compositional Amplicon and Single-Cell Data von Ostner, Johannes, Carcy, Salomé, Müller, Christian L

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Objective hearing threshold identification from auditory brainstem response measurements using supervised and self-supervised approaches von Thalmeier, Dominik, Miller, Gregor, Schneltzer, Elida, Hurt, Anja, Hrabě deAngelis, Martin, Becker, Lore, Müller, Christian L, Maier, Holger

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