Publikationen von A Ruaud
Alle Typen
Zeitschriftenartikel (7)
1.
Zeitschriftenartikel
18 (12), e1010714 (2022)
Interpreting tree ensemble machine learning models with endoR. PLoS Computational Biology 2.
Zeitschriftenartikel
Free-living psychrophilic bacteria of the genus Psychrobacter are descendants of pathobionts. mSystems (angenommen)
3.
Zeitschriftenartikel
6 (2), e00258-21 (2021)
Free-Living, Psychrotrophic Bacteria of the Genus Psychrobacter Are Descendants of Pathobionts. mSystems 4.
Zeitschriftenartikel
17 (5), 551 (2020)
Publisher Correction: Genetic tool development in marine protists: emerging model organisms for experimental cell biology. Nature Methods 5.
Zeitschriftenartikel
17 (5), S. 481 - 494 (2020)
Genetic tool development in marine protists: emerging model organisms for experimental cell biology. Nature Methods 6.
Zeitschriftenartikel
11 (1), e03235-19 (2020)
Syntrophy via Interspecies H2 Transfer between Christensenella and Methanobrevibacter Underlies Their Global Cooccurrence in the Human Gut. mBio 7.
Zeitschriftenartikel
25 (4), S. 553 - 564 (2019)
Human Salivary Amylase Gene Copy Number Impacts Oral and Gut Microbiomes. Cell Host & Microbe Poster (4)
8.
Poster
Bifidobacteria compensate for genotype in lactose tolerance. 75th Mosbacher Kolloquium "The Microbiome - from Understanding to Modulation", Mosbach, Germany (2024)
9.
Poster
Bifidobacteria confer microbiome-acquired lactose tolerance in genetically lactase-non persistent humansrts. 3rd International Conference Controlling Microbes to Fight Infections (CMFI 2023), Tübingen, Germany (2023)
10.
Poster
Enhancing the application of machine learning models to microbiome data with endoR. Cell Symposia: Infection Biology in the Age of the Microbiome, Paris, France (2023)
11.
Poster
Interpretation of Tree Ensemble Machine Learning Models with EndoR. World Microbe Forum 2021 (2021)
Hochschulschrift - Doktorarbeit (1)
12.
Hochschulschrift - Doktorarbeit
Analysis of Human Gut Metagenomes for the Prediction of Host Traits with Tree Ensemble Machine Learning Models. Dissertation, 191 S., Eberhard-Karls-Universität, Tübingen, Germany (2021)