Ian J. Majewski

Molecular Biology · 2013–2020

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ian J. Majewski trusts overall

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

  1. Gordon K. Smyth
  2. William S. Cleveland
  3. Davis J. McCarthy
  4. Aaron T. L. Lun
  5. Yoav Benjamini

Who trusts Ian J. Majewski overall

  1. Yunshun Chen

Papers from Ian J. Majewski's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  3. Testing significance relative to a fold-change threshold is a TREAT (Bioinform.)
  4. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)
  5. A random variance model for detection of differential gene expression in small microarray experiments (Bioinform.)
  6. Robust Locally Weighted Regression and Smoothing Scatterplots
  7. Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)
  8. A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes (Bioinform.)
  9. Parametric Empirical Bayes Inference: Theory and Applications
  10. Stein's Estimation Rule and Its Competitors- An Empirical Bayes Approach

Their papers