Helen Lindsay

Molecular Biology · 2013

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Helen Lindsay trusts overall

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

  1. Mark D. Robinson
  2. Gordon K. Smyth
  3. Davis J. McCarthy
  4. Thomas J. Hardcastle
  5. Håvard Rue
  6. Charlotte Soneson
  7. Jun Li
  8. Robert Tibshirani
  9. Bradley Efron
  10. Yunshun Chen

Who trusts Helen Lindsay overall

  1. Yunshun Chen

Papers from Helen Lindsay's perspective

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

  1. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
  2. Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
  3. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  4. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  5. baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
  6. A comparison of methods for differential expression analysis of RNA-seq data (BMC Bioinformatics)
  7. Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
  8. RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
  9. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation (Nucleic Acids Research)
  10. Transcriptome genetics using second generation sequencing in a Caucasian population (Nature)

Their papers