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Zeitschriftenartikel
Lin, Jie-sheng 
ORCID: https://orcid.org/0000-0002-9216-4736; Petrera, Agnese ORCID: https://orcid.org/0000-0002-0583-6195; Hauck, Stefanie M. ORCID: https://orcid.org/0000-0002-1630-6827; Müller, Christian L. ORCID: https://orcid.org/0000-0002-3821-7083; Peters, Annette ORCID: https://orcid.org/0000-0001-6645-0985 und Thorand, Barbara ORCID: https://orcid.org/0000-0002-8416-6440
(2024):
Associations of Proteomics With Hypertension and Systolic Blood Pressure: KORA S4/F4/FF4 and KORA-Age1/Age2 Cohort Studies.
In: Hypertension, Bd. 81, Nr. 5: S. 1156-1166
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-9216-4736; Petrera, Agnese ORCID: https://orcid.org/0000-0002-0583-6195; Hauck, Stefanie M. ORCID: https://orcid.org/0000-0002-1630-6827; Müller, Christian L. ORCID: https://orcid.org/0000-0002-3821-7083; Peters, Annette ORCID: https://orcid.org/0000-0001-6645-0985 und Thorand, Barbara ORCID: https://orcid.org/0000-0002-8416-6440
(2024):
Associations of Proteomics With Hypertension and Systolic Blood Pressure: KORA S4/F4/FF4 and KORA-Age1/Age2 Cohort Studies.
In: Hypertension, Bd. 81, Nr. 5: S. 1156-1166
[PDF, 1MB]
Ullmann, Theresa ORCID: https://orcid.org/0000-0003-1215-8561; Peschel, Stefanie; Finger, Philipp; Müller, Christian L. und Boulesteix, Anne-Laure
(2023):
Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering.
In: PLoS Computational Biology 19(1), e1010820 [PDF, 1MB]
ORCID: https://orcid.org/0000-0003-1215-8561; Peschel, Stefanie; Finger, Philipp; Müller, Christian L. und Boulesteix, Anne-Laure
(2023):
Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering.
In: PLoS Computational Biology 19(1), e1010820 [PDF, 1MB]
Lin, Jie-sheng; Nano, Jana; Petrera, Agnese; Hauck, Stefanie M.; Zeller, Tanja; Koenig, Wolfgang; Müller, Christian L.; Peters, Annette ORCID: https://orcid.org/0000-0001-6645-0985 und Thorand, Barbara ORCID: https://orcid.org/0000-0002-8416-6440
(2023):
Proteomic profiling of longitudinal changes in kidney function among middle-aged and older men and women: the KORA S4/F4/FF4 study.
In: BMC Medicine, Bd. 21, 245
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-6645-0985 und Thorand, Barbara ORCID: https://orcid.org/0000-0002-8416-6440
(2023):
Proteomic profiling of longitudinal changes in kidney function among middle-aged and older men and women: the KORA S4/F4/FF4 study.
In: BMC Medicine, Bd. 21, 245
[PDF, 1MB]
Sommer, Alice J. ORCID: https://orcid.org/0000-0003-0989-4103; Peters, Annette ORCID: https://orcid.org/0000-0001-6645-0985; Rommel, Martina; Cyrys, Josef ORCID: https://orcid.org/0000-0002-2105-8696; Grallert, Harald ORCID: https://orcid.org/0000-0002-6876-9655; Haller, Dirk ORCID: https://orcid.org/0000-0002-6977-4085; Müller, Christian L. ORCID: https://orcid.org/0000-0002-3821-7083 und Bind, Marie-Abèle C.
(2022):
A randomization-based causal inference framework for uncovering environmental exposure effects on human gut microbiota.
In: PLOS Computational Biology 18(5), e1010044 [PDF, 2MB]
ORCID: https://orcid.org/0000-0003-0989-4103; Peters, Annette ORCID: https://orcid.org/0000-0001-6645-0985; Rommel, Martina; Cyrys, Josef ORCID: https://orcid.org/0000-0002-2105-8696; Grallert, Harald ORCID: https://orcid.org/0000-0002-6876-9655; Haller, Dirk ORCID: https://orcid.org/0000-0002-6977-4085; Müller, Christian L. ORCID: https://orcid.org/0000-0002-3821-7083 und Bind, Marie-Abèle C.
(2022):
A randomization-based causal inference framework for uncovering environmental exposure effects on human gut microbiota.
In: PLOS Computational Biology 18(5), e1010044 [PDF, 2MB]
Hyun, Sangwon; Mishra, Aditya; Follett, Christopher L.; Jonsson, Bror; Kulk, Gemma; Forget, Gael; Racault, Marie-Fanny; Jackson, Thomas; Dutkiewicz, Stephanie; Müller, Christian L. und Bien, Jacob
(2022):
Ocean mover's distance: using optimal transport for analysing oceanographic data.
In: Proceedings of the Royal Society of London, Series A : Mathematical, Physical and Engineering Sciences, Bd. 478, Nr. 2262, 20210875
Maddu, Suryanarayana; Sturm, Dominik; Müller, Christian L. und Sbalzarini, Ivo F.
(2022):
Inverse Dirichlet weighting enables reliable training of physics informed neural networks.
In: Machine Learning: Science and Technology, Bd. 3, Nr. 1, 15026
Ostner, Johannes; Carcy, Salomé und Müller, Christian L. ORCID: https://orcid.org/0000-0002-3821-7083
(7. Dezember 2021):
tascCODA: Bayesian Tree-Aggregated Analysis of Compositional Amplicon and Single-Cell Data.
In: Frontiers in Genetics, Bd. 12, 766405
[PDF, 4MB]
ORCID: https://orcid.org/0000-0002-3821-7083
(7. Dezember 2021):
tascCODA: Bayesian Tree-Aggregated Analysis of Compositional Amplicon and Single-Cell Data.
In: Frontiers in Genetics, Bd. 12, 766405
[PDF, 4MB]
Peschel, Stefanie; Müller, Christian L.; Mutius, Erika von; Boulesteix, Anne-Laure und Depner, Martin
(2020):
NetCoMi: network construction and comparison for microbiome data in R.
In: Briefings in Bioinformatics, Bd. 22, Nr. 4, bbaa290
[PDF, 1MB]
Combettes, Patrick L. und Müller, Christian L.
(2020):
Regression Models for Compositional Data: General Log-Contrast Formulations, Proximal Optimization, and Microbiome Data Applications.
In: Statistics in Biosciences, Bd. 13, Nr. 2: S. 217-242
Combettes, Patrick L. und Müller, Christian L.
(2020):
Perspective maximum likelihood-type estimation via proximal decomposition.
In: Electronic Journal of Statistics, Bd. 14, Nr. 1: S. 207-238