Kenneth R. Williams

Genome Biology · 2003

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Kenneth R. Williams trusts

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

  1. R. Fisher (in Statistical Learning Theory)
  2. Yuhai Wu (in Artificial Intelligence)

Papers from Kenneth R. Williams's perspective

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

  1. Modern Applied Statistics With S
  2. A Tutorial on Support Vector Machines for Pattern Recognition
  3. Quantitative profiling of differentiation-induced microsomal proteins using isotope-coded affinity tags and mass spectrometry (Nature Biotechnology)
  4. Bagging Predictors
  5. Improved Statistical Inference from DNA Microarray Data Using Analysis of Variance and A Bayesian Statistical Framework (Journal of Biological Chemistry)
  6. Pattern Recognition and Neural Networks
  7. Statistical Learning Theory
  8. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
  9. Modern Applied Statistics with S Fourth edition
  10. Protein pathway and complex clustering of correlated mRNA and protein expression analyses in Saccharomyces cerevisiae (Proceedings of the National Academy of Sciences of the United States of America)

Their papers