Paul L. Auer

Genetics · 2010–2021

A researcher in the Science corpus: 7 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Paul L. Auer trusts overall

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

  1. Gordon K. Smyth
  2. Mark D. Robinson
  3. G. Oehlert
  4. Julian J. Faraway
  5. Ali Mortazavi
  6. Gary A. Churchill
  7. P. Park
  8. Davis J. McCarthy
  9. Robert Gentleman
  10. M. Kerr

Who trusts Paul L. Auer overall

  1. Davis J. McCarthy
  2. Neelroop Parikshak
  3. Simon Anders
  4. Ana Conesa
  5. Yunshun Chen
  6. Gordon K. Smyth
  7. Michael Jeffrey Gandal
  8. Brian J. Haas
  9. Rhonda L. Bacher
  10. Daniel H. Geschwind

Papers from Paul L. Auer's perspective

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

  1. [Serial analysis of gene expression]. (Yi chuan = Hereditas)
  2. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  3. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
  4. A Global View of Gene Activity and Alternative Splicing by Deep Sequencing of the Human Transcriptome (Science)
  5. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  6. Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
  7. Stem cell transcriptome profiling via massive-scale mRNA sequencing (Nature Methods)
  8. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
  9. The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing (Science)
  10. Accurate Whole Human Genome Sequencing using Reversible Terminator Chemistry (Nature)

Their papers