Anqi Zhu

Molecular Biology · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anqi Zhu trusts overall

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

  1. Yunshun Chen
  2. Eric R. Ziegel
  3. Jorge Nocedal
  4. Davis J. McCarthy
  5. Gordon K. Smyth
  6. Charity W. Law
  7. Andrew Gelman
  8. Lukas Käll
  9. Joseph K. Pickrell
  10. John D. Storey

Papers from Anqi Zhu's perspective

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

  1. Generalized Linear Models
  2. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks (Nature Protocols)
  3. Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)
  4. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation (Nucleic Acids Research)
  5. Testing significance relative to a fold-change threshold is a TREAT (Bioinform.)
  6. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  7. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  8. voom: precision weights unlock linear model analysis tools for RNA-seq read counts (Genome Biology)
  9. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
  10. A comparison of methods for differential expression analysis of RNA-seq data (BMC Bioinformatics)

Their papers