Keegan Korthauer

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keegan Korthauer trusts overall

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

  1. Yoav Benjamini
  2. Ang Li
  3. Y. Hochberg
  4. Michael I. Love
  5. Rina Foygel Barber
  6. Matthew E. Ritchie
  7. Aravind Subramanian
  8. Greg Finak

Papers from Keegan Korthauer's perspective

Ordered by how strongly the researchers Keegan Korthauer 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. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
  3. limma powers differential expression analyses for RNA-sequencing and microarray studies
  4. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
  5. On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics
  6. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)
  7. Discovering the false discovery rate
  8. QIIME allows analysis of high-throughput community sequencing data (Nature Methods)
  9. The human transcriptome across tissues and individuals (Science)
  10. Multiple Hypothesis Testing in Microarray Experiments

Their papers