Michael Hecker

Molecular Biology · 2003–2012

A researcher in the Science corpus: 8 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Hecker trusts overall

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

  1. David E. Heckerman
  2. Wei Pan
  3. Alexander J. Hartemink
  4. Jesper N. Tegnér
  5. Atul J. Butte
  6. Purvesh Khatri
  7. D. di Bernardo
  8. Patrik D'haeseleer
  9. James J. Collins
  10. David K. Gifford

Papers from Michael Hecker's perspective

Ordered by how strongly the researchers Michael Hecker 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. Network motifs in the transcriptional regulation network of Escherichia coli (Nature Genetics)
  3. Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements.
  4. A Tutorial on Learning with Bayesian Networks
  5. Combining Location and Expression Data for Principled Discovery of Genetic Regulatory Network Models (Pacific Symposium on Biocomputing)
  6. Reverse engineering gene networks: Integrating genetic perturbations with dynamical modeling (Proceedings of the National Academy of Sciences of the United States of America)
  7. Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data (Nature Genetics)
  8. Computational discovery of gene modules and regulatory networks (Nature Biotechnology)
  9. Cytoscape: a software environment for integrated models of biomolecular interaction networks.
  10. Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling (Science)

Their papers