V. Anne Smith

Molecular Biology · 2004

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

Subfields

Whom V. Anne Smith trusts overall

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

  1. David E. Heckerman
  2. David E. Goldberg
  3. Dirk Husmeier
  4. Alexander J. Hartemink
  5. Tatsuya Akutsu

Who trusts V. Anne Smith overall

  1. Mukesh Bansal
  2. Nicolas Le Novère
  3. Florian Markowetz

Papers from V. Anne Smith's perspective

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

  1. Using Bayesian Networks to Analyze Expression Data (Annual International Conference on Research in Computational Molecular Biology)
  2. Combining Location and Expression Data for Principled Discovery of Genetic Regulatory Network Models (Pacific Symposium on Biocomputing)
  3. A Tutorial on Learning with Bayesian Networks
  4. Inferring qualitative relations in genetic networks and metabolic pathways (Bioinform.)
  5. Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling (Science)
  6. Genetic Algorithms in Search Optimization and Machine Learning
  7. Using Graphical Models and Genomic Expression Data to Statistically Validate Models of Genetic Regulatory Networks (Pacific Symposium on Biocomputing)
  8. Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks
  9. Estimation of Genetic Networks and Functional Structures Between Genes by Using Bayesian Networks and Nonparametric Regression (Pacific Symposium on Biocomputing)
  10. Probabilistic reasoning in intelligent systems: Networks of plausible inference

Their papers