Wei Shi

Molecular Biology · Bioinform. · 2011–2018

A researcher in the Science corpus: 8 papers; trusts 36 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Shi trusts overall

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

  1. Gordon K. Smyth
  2. Mark D. Robinson
  3. Simon Anders
  4. Yang Liao
  5. Davis J. McCarthy
  6. Yunshun Chen
  7. Thomas J. Hardcastle
  8. Charity W. Law
  9. Alicia Oshlack
  10. Ben Langmead

Who trusts Wei Shi overall

  1. Yang Liao
  2. Gordon K. Smyth
  3. Aaron T. L. Lun
  4. Yunshun Chen
  5. Michael I. Love
  6. Gabriel E. Hoffman
  7. Tallulah S. Andrews
  8. Belinda Phipson
  9. Matthew E. Ritchie
  10. Charlotte Soneson

Papers from Wei Shi's perspective

Ordered by how strongly the researchers Wei Shi 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. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  3. Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
  4. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
  5. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  6. Detecting differential usage of exons from RNA-seq data (Genome Research)
  7. Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
  8. Generalized Linear Models
  9. A comparison of methods for differential expression analysis of RNA-seq data (BMC Bioinformatics)
  10. Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)

Their papers