Justin Guegan

Molecular Biology · 2012

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

Subfields

Whom Justin Guegan trusts

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

  1. Gordon K. Smyth (in Molecular Biology)
  2. Mark Newman (in Statistical and Nonlinear Physics)

Papers from Justin Guegan's perspective

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

  1. Specificity and Stability in Topology of Protein Networks (Science)
  2. Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  3. Hallmarks of cancer: the next generation. (Cell)
  4. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
  5. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  6. Cytoscape: a software environment for integrated models of biomolecular interaction networks.
  7. Automated Network Analysis Identifies Core Pathways in Glioblastoma (PLoS ONE)
  8. The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored (Nucleic Acids Res.)
  9. Prediction of Protein Function Using Protein–Protein Interaction Data (Proceedings. IEEE Computer Society Bioinformatics Conference)
  10. Assortative mixing in networks. (Physical Review Letters)

Their papers