Jing Yu

Molecular Biology · The Journal of comparative neurology · 2004–2005

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

Subfields

Whom Jing Yu 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
  6. Satoru Miyano
  7. David K. Gifford

Who trusts Jing Yu overall

  1. Mukesh Bansal
  2. Nicolas Le Novère
  3. Florian Markowetz
  4. Irene Cantone
  5. D. di Bernardo
  6. Rainer Spang
  7. Vincenzo Belcastro
  8. Giusy Della Gatta

Papers from Jing Yu's perspective

Ordered by how strongly the researchers Jing Yu 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. A Tutorial on Learning with Bayesian Networks
  3. Combining Location and Expression Data for Principled Discovery of Genetic Regulatory Network Models (Pacific Symposium on Biocomputing)
  4. Inferring qualitative relations in genetic networks and metabolic pathways (Bioinform.)
  5. Genetic Algorithms in Search Optimization and Machine Learning
  6. Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling (Science)
  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. Shaping of Hooks in New Caledonian Crows (Science)

Their papers