John Ngai

Molecular Biology · 2002–2017

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom John Ngai trusts overall

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

  1. William S. Cleveland
  2. Mark D. Robinson
  3. Gordon K. Smyth
  4. Benjamin M. Bolstad
  5. James H. Bullard

Who trusts John Ngai overall

  1. Jeffrey T. Leek
  2. Davide Risso
  3. Aaron T. L. Lun
  4. Rhonda L. Bacher
  5. S. Zaccara
  6. Michael I. Love
  7. Oliver Stegle
  8. Ciaran Evans
  9. M. van Iterson
  10. Yunshun Chen

Papers from John Ngai's perspective

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

  1. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
  2. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
  3. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  4. Using control genes to correct for unwanted variation in microarray data. (Biostatistics)
  5. Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. (Nucleic Acids Research)
  6. GC-Content Normalization for RNA-Seq Data (BMC Bioinformatics)
  7. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
  8. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
  9. Gentleman R: R: A language for data analysis and graphics
  10. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)

Their papers