M. Depner

Molecular Biology · 2007–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Depner trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Korbinian Strimmer (in Molecular Biology)
  2. Susan P. Holmes (in Molecular Biology)
  3. Paul J. McMurdie (in Molecular Biology)
  4. Benjamin J. Callahan (in Molecular Biology)
  5. Steve Horvath (in Molecular Biology)
  6. Yoav Benjamini (in Statistics and Probability)
  7. Mark Newman (in Statistical and Nonlinear Physics)
  8. Nicolai Meinshausen (in Statistics and Probability)
  9. Michelle Girvan (in Statistical and Nonlinear Physics)
  10. Peter Buhlmann (in Statistics and Probability)

Papers from M. Depner's perspective

Ordered by how strongly the researchers M. Depner trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible (PLoS Comput. Biol.)
  2. High-dimensional graphs and variable selection with the Lasso
  3. Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
  4. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
  5. Inferring Correlation Networks from Genomic Survey Data (PLoS Comput. Biol.)
  6. fdrtool: a versatile R package for estimating local and tail area-based false discovery rates (Bioinform.)
  7. Consistent and correctable bias in metagenomic sequencing experiments (bioRxiv)
  8. A General Framework for Weighted Gene Co-Expression Network Analysis (Statistical Applications in Genetics and Molecular Biology)
  9. statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data. (Journal of Statistical Software)
  10. Statistical Applications in Genetics and Molecular Biology Permutation P -values Should Never Be Zero: Calculating Exact P -values When Permutations Are Randomly Drawn

Their papers