Christian L. Müller

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Richard BonneauGenentechVerifierad e-postadress på gene.com
Ivo F. SbalzariniTU Dresden & Max Planck Institute of Molecular Cell Biology and GeneticsVerifierad e-postadress på mpi-cbg.de
Zachary D KurtzGinkgo BioworksVerifierad e-postadress på ginkgobioworks.com
Martin BlaserProfessor of Medicine and Microbiology, Rutgers UniversityVerifierad e-postadress på cabm.rutgers.edu
Emily R MiraldiCincinnati Children's HospitalVerifierad e-postadress på cchmc.org
SURYANARAYANA MADDUCenter for Computational Biology, Flatiron Institute; Harvard QBioVerifierad e-postadress på flatironinstitute.org
Johannes OstnerLudwig Maximilians Universität MünchenVerifierad e-postadress på stat.uni-muenchen.de
Fabian J TheisHelmholtz Munich, Technical University of MunichVerifierad e-postadress på helmholtz-muenchen.de
Irina GaynanovaUniversity of MichiganVerifierad e-postadress på umich.edu
Patrick L. CombettesDepartment of Mathematics, North Carolina State UniversityVerifierad e-postadress på math.ncsu.edu
Johannes LedererProfessor of Data-Driven Methods, University of HamburgVerifierad e-postadress på uni-hamburg.de
Dan LittmanSkirball Institute, NYU School of MedicineVerifierad e-postadress på med.nyu.edu
Sebastian Urban StichCISPA Helmholtz CenterVerifierad e-postadress på cispa.de
Bevan Leslie CheesemanDataflight Solutions Ltd.Verifierad e-postadress på dataflight.dev
Laura TiptonJames Madison UniversityVerifierad e-postadress på jmu.edu
Laurence HuangUniversity of California San FranciscoVerifierad e-postadress på php.ucsf.edu
Stefanie PeschelLudwig-Maximilians-Universität MünchenVerifierad e-postadress på stat.uni-muenchen.de
Anne-Laure BoulesteixLudwig-Maximilians-Universität MünchenVerifierad e-postadress på ibe.med.uni-muenchen.de
Thomas W. BattagliaThe Netherlands Cancer Institute (NKI)Verifierad e-postadress på nyu.edu
Dominik SturmTU Dresden; Max Planck Institute of Molecular Cell Biology and Genetics; ScaDS.AIVerifierad e-postadress på mpi-cbg.de

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Christian L. Müller

Helmholtz Munich; Ludwig-Maximilians-Universität München; Flatiron Institute, New York

Verifierad e-postadress på helmholtz-munich.de - Startsida

Statistics optimization microbiome microbial ecology computational biology


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	1454	2015
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	574	2023
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	320	2020
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	263	2016
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	220	2021
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	193	2016
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	183	2018
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	135	2017
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, 516, 2019	111	2019
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	98	2016
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	90	2022
Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing T Äijö, CL Müller, R Bonneau Bioinformatics 34 (3), 372-380, 2018	77	2018
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	77	2015
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	74	2016
Optimization of convex functions with random pursuit SU Stich, CL Muller, B Gartner SIAM Journal on Optimization 23 (2), 1284-1309, 2013	65	2013
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	65	2009
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	62	2017
Global characterization of the CEC 2005 fitness landscapes using fitness-distance analysis CL Müller, IF Sbalzarini European conference on the applications of evolutionary computation, 294-303, 2011	61	2011
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	58*	2020
Stability selection enables robust learning of differential equations from limited noisy data S Maddu, BL Cheeseman, IF Sbalzarini, CL Müller Proceedings of the Royal Society A 478 (2262), 20210916, 2022	55	2022

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