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Christian L. Müller

New York University · US
Area of research
Molecular Biology · General Economics, Econometrics and Finance
Research interest
Research interests include Computer science, Biology, Computational biology, Inference, Microbiome, and Microbial ecology.
h-index
citations
3,862
works
13
NIH funding
primary concept
email

Recent publications

Best practices for single-cell analysis across modalities
Nature Reviews Genetics 2023cited by 1,018position: middledoi
<b>deepregression</b>: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression
Journal of Statistical Software 2023cited by 7position: lastdoi
Shrinkage improves estimation of microbial associations under different normalization methods
NAR Genomics and Bioinformatics 2020cited by 34position: lastdoi
Fungi stabilize connectivity in the lung and skin microbial ecosystems
Microbiome 2018cited by 237position: middledoi
A single early-in-life macrolide course has lasting effects on murine microbial network topology and immunity
Nature Communications 2017cited by 140position: middledoi
Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing
Bioinformatics 2017cited by 74position: middledoi
Identifying direct contacts between protein complex subunits from their conditional dependence in proteomics datasets
PLoS Computational Biology 2017cited by 33position: middledoi
Antibiotic perturbation of the murine gut microbiome enhances the adiposity, insulin resistance, and liver disease associated with high-fat diet
Genome Medicine 2016cited by 211position: middledoi
4C-ker: A Method to Reproducibly Identify Genome-Wide Interactions Captured by 4C-Seq Experiments
PLoS Computational Biology 2016cited by 103position: middledoi
Robust classification of protein variation using structural modelling and large-scale data integration
Nucleic Acids Research 2016cited by 64position: middledoi
Fused Regression for Multi-source Gene Regulatory Network Inference
PLoS Computational Biology 2016cited by 42position: middledoi
Sparse and Compositionally Robust Inference of Microbial Ecological Networks
PLoS Computational Biology 2015cited by 1,859position: middledoi
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX
Proceedings of the AAAI Conference on Artificial Intelligence 2015cited by 40position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

Richard Bonneau · Gene Therapy Laboratory10 papers (2015–2020)Zachary Kurtz · New York University5 papers (2015–2020)Martin J. Blaser · Rutgers, The State University of New Jersey3 papers (2015–2017)Thomas Battaglia · New York University2 papers (2016–2017)Emily R. Miraldi · Cincinnati Children's Hospital Medical Center2 papers (2015–2016)Natalia Volfovsky · The University of Texas at Austin1 papers (2016–2016)Ramya Raviram · Cornell University1 papers (2016–2016)Tadasu Iizumi · New York University1 papers (2017–2017) · 1 papers (2023–2023)Eric C. Kleerup · University of California, Los Angeles1 papers (2018–2018)Kevin Drew · New York University1 papers (2017–2017)Chad M. Trent · University of North Carolina at Chapel Hill1 papers (2016–2016)Douglas Mahana · New York University1 papers (2016–2016)Rebecca F. Alford · Johnson & Johnson (United States)1 papers (2016–2016)Riley Simmons-Edler · New York University1 papers (2016–2016)Ken Cadwell · Translational Therapeutics (United States)1 papers (2017–2017)Victoria Ruiz · New York University1 papers (2017–2017)Xuhui Zheng · New York University1 papers (2017–2017) · 1 papers (2023–2023)Jennifer Chung · New York University1 papers (2016–2016)