S. Peschel

Molecular Biology · 2002–2020

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom S. Peschel trusts overall

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

  1. Paul J. McMurdie
  2. Korbinian Strimmer
  3. Yoav Benjamini
  4. Mark Newman
  5. Benjamin J. Callahan
  6. Nicolai Meinshausen
  7. Patrick D. Schloss
  8. Jonathan Friedman
  9. Bin Zhang
  10. Simon Anders

Who trusts S. Peschel overall

  1. M. Matchado
  2. M. Knoche

Papers from S. Peschel's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible (PLoS Comput. Biol.)
  3. High-dimensional graphs and variable selection with the Lasso
  4. Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
  5. Inferring Correlation Networks from Genomic Survey Data (PLoS Comput. Biol.)
  6. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
  7. fdrtool: a versatile R package for estimating local and tail area-based false discovery rates (Bioinform.)
  8. Consistent and correctable bias in metagenomic sequencing experiments (bioRxiv)
  9. A General Framework for Weighted Gene Co-Expression Network Analysis (Statistical Applications in Genetics and Molecular Biology)
  10. statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data. (Journal of Statistical Software)

Their papers