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Christian L. Müller
Christian L. Müller
Helmholtz Munich; Ludwig-Maximilians-Universität München; Flatiron Institute, New York
Bestätigte E-Mail-Adresse bei helmholtz-munich.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Sparse and compositionally robust inference of microbial ecological networks
ZD Kurtz, CL Müller, ER Miraldi, DR Littman, MJ Blaser, RA Bonneau
PLoS computational biology 11 (5), e1004226, 2015
12492015
Inferring causal molecular networks: empirical assessment through a community-based effort
SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ...
Nature methods 13 (4), 310-318, 2016
2372016
NetCoMi: network construction and comparison for microbiome data in R
S Peschel, CL Müller, E von Mutius, AL Boulesteix, M Depner
Briefings in Bioinformatics, 2020
2222020
Best practices for single-cell analysis across modalities
L Heumos, AC Schaar, C Lance, A Litinetskaya, F Drost, L Zappia, ...
Nature Reviews Genetics, 1-23, 2023
2032023
Antibiotic perturbation of the murine gut microbiome enhances the adiposity, insulin resistance, and liver disease associated with high-fat diet
D Mahana, CM Trent, ZD Kurtz, NA Bokulich, T Battaglia, J Chung, ...
Genome medicine 8, 1-20, 2016
1762016
Fungi stabilize connectivity in the lung and skin microbial ecosystems
L Tipton, CL Müller, ZD Kurtz, L Huang, E Kleerup, A Morris, R Bonneau, ...
Microbiome 6, 1-14, 2018
1602018
scCODA is a Bayesian model for compositional single-cell data analysis
M Buettner, J Ostner, CL Mueller, FJ Theis, B Schubert
Nature communications 12 (1), 6876, 2021
1262021
A single early-in-life macrolide course has lasting effects on murine microbial network topology and immunity
VE Ruiz, T Battaglia, ZD Kurtz, L Bijnens, A Ou, I Engstrand, X Zheng, ...
Nature communications 8 (1), 518, 2017
118*2017
4C-ker: a method to reproducibly identify genome-wide interactions captured by 4C-Seq experiments
R Raviram, PP Rocha, CL Müller, ER Miraldi, S Badri, Y Fu, E Swanzey, ...
PLoS computational biology 12 (3), e1004780, 2016
932016
Microbial networks in SPRING-Semi-parametric rank-based correlation and partial correlation estimation for quantitative microbiome data
G Yoon, I Gaynanova, CL Müller
Frontiers in genetics 10, 449195, 2019
882019
Don't fall for tuning parameters: Tuning-free variable selection in high dimensions with the TREX
J Lederer, C Müller
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
752015
Robust classification of protein variation using structural modelling and large-scale data integration
EH Baugh, R Simmons-Edler, CL Müller, RF Alford, N Volfovsky, AE Lash, ...
Nucleic acids research 44 (6), 2501-2513, 2016
712016
Particle swarm CMA evolution strategy for the optimization of multi-funnel landscapes
CL Muller, B Baumgartner, IF Sbalzarini
Evolutionary Computation, 2009. CEC'09. IEEE Congress on, 2685-2692, 2009
642009
Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing
T Äijö, CL Müller, R Bonneau
Bioinformatics 34 (3), 372-380, 2018
622018
Perspective functions: Proximal calculus and applications in high-dimensional statistics
PL Combettes, CL Müller
Journal of Mathematical Analysis and Applications 457 (2), 1283-1306, 2018
622018
Optimization of convex functions with random pursuit
SU Stich, CL Muller, B Gartner
SIAM Journal on Optimization 23 (2), 1284-1309, 2013
622013
Global characterization of the CEC 2005 fitness landscapes using fitness-distance analysis
CL Müller, IF Sbalzarini
Applications of Evolutionary Computation: EvoApplications 2011: EvoCOMPLEX …, 2011
592011
The RNA ligase RtcB reverses MazF-induced ribosome heterogeneity in Escherichia coli
H Temmel, C Müller, M Sauert, O Vesper, A Reiss, J Popow, J Martinez, ...
Nucleic acids research 45 (8), 4708-4721, 2017
582017
Shrinkage improves estimation of microbial associations under different normalization methods
M Badri, ZD Kurtz, R Bonneau, CL Müller
NAR genomics and bioinformatics 2 (4), lqaa100, 2020
51*2020
Inverse Dirichlet weighting enables reliable training of physics informed neural networks
S Maddu, D Sturm, CL Müller, IF Sbalzarini
Machine Learning: Science and Technology 3 (1), 015026, 2022
502022
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