Christian L. Müller
Molecular Biology · 2014–2021
A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 63 citations into it
- Artificial Intelligence — 25 citations into it
- Statistics and Probability — 23 citations into it
- Statistical and Nonlinear Physics — 11 citations into it
- Food Science — 6 citations into it
Whom Christian L. Müller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul J. McMurdie
- Nicolai Meinshausen
- Ming Yuan
- Jonathan Friedman
- Han Liu
- Karoline Faust
- Roger B. Nelsen
- Korbinian Strimmer
- Peter Buhlmann
- Yoav Benjamini
Who trusts Christian L. Müller overall
Papers from Christian L. Müller's perspective
Ordered by how strongly the researchers Christian L. Müller trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- High-dimensional graphs and variable selection with the Lasso
- Model selection and estimation in regression with grouped variables
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Model selection and estimation in the Gaussian graphical model
- Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible (PLoS Comput. Biol.)
- Inferring Correlation Networks from Genomic Survey Data (PLoS Comput. Biol.)
- The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
- Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
Their papers
- Sparse and Compositionally Robust Inference of Microbial Ecological Networks (2014) — 1,531 citations
- NetCoMi: network construction and comparison for microbiome data in R (2020) — 443 citations
- scCODA is a Bayesian model for compositional single-cell data analysis (2021) — 310 citations