Frank De Smet

Intelligent Systems in Molecular Biology · 2006

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Frank De Smet trusts overall

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

  1. Radford M. Neal
  2. Richard E. Neapolitan

Who trusts Frank De Smet overall

  1. Verónica Bolón-Canedo

Papers from Frank De Smet's perspective

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

  1. Learning Bayesian networks
  2. Missing value estimation methods for DNA microarrays
  3. Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses (Proceedings of the National Academy of Sciences of the United States of America)
  4. Bayesian learning for neural networks
  5. Gene expression profiling predicts clinical outcome of breast cancer
  6. Gene expression correlates of clinical prostate cancer behavior. (Cancer Cell)
  7. Bayesian Artificial Intelligence
  8. National Institutes of Health Consensus Development Conference Statement: adjuvant therapy for breast cancer, November 1-3, 2000. (Journal of the National Cancer Institute)
  9. A gene-expression signature as a predictor of survival in breast cancer. (New England Journal of Medicine)
  10. Sequential updating of conditional probabilities on directed graphical structures

Their papers