Joëlle Michaud

Molecular Biology · 2005

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Joëlle Michaud trusts overall

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

  1. Gordon K. Smyth
  2. Ingrid Lönnstedt
  3. Bradley Efron
  4. Michael A. Newton
  5. Pierre Baldi
  6. Russell D. Wolfinger
  7. Y. H. Yang
  8. Terence P. Speed
  9. Robert Tibshirani

Who trusts Joëlle Michaud overall

  1. Charity W. Law
  2. Matthew E. Ritchie
  3. R. Schwab
  4. A. C. Fierro

Papers from Joëlle Michaud's perspective

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

  1. On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data (J. Comput. Biol.)
  2. Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models (J. Comput. Biol.)
  3. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  4. On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles (Statistics in Medicine)
  5. Issues in cDNA microarray analysis: quality filtering, channel normalization, models of variations and assessment of gene effects. (Nucleic Acids Research)
  6. A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes (Bioinform.)
  7. Empirical Bayes Analysis of a Microarray Experiment
  8. Normalization for cDNA microarry data (SPIE BiOS)
  9. Mixed-Effects Models in S and S-Plus
  10. Replicated microarray data

Their papers