K. van Eijk

Molecular Biology · 2012–2019

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

Subfields

Whom K. van Eijk trusts

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

  1. Steve Horvath (in Molecular Biology)
  2. M. Whitlock (in Genetics)
  3. Peter Langfelder (in Molecular Biology)

Who trusts K. van Eijk

  1. Steve Horvath (in Molecular Biology)

Papers from K. van Eijk's perspective

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

  1. Geometric Interpretation of Gene Coexpression Network Analysis (PLoS Comput. Biol.)
  2. Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
  3. Identifying biological themes within lists of genes with EASE (Genome Biology)
  4. A General Framework for Weighted Gene Co-Expression Network Analysis (Statistical Applications in Genetics and Molecular Biology)
  5. Hierarchical Organization of Modularity in Metabolic Networks (Science)
  6. Polycomb complexes repress developmental regulators in murine embryonic stem cells (Nature)
  7. Eigengene networks for studying the relationships between co-expression modules (BMC Systems Biology)
  8. Structuring and extracting knowledge for the support of hypothesis generation in molecular biology (BMC Bioinformatics)
  9. Intra-individual change over time in DNA methylation with familial clustering. (Journal of the American Medical Association (JAMA))
  10. Gene network interconnectedness and the generalized topological overlap measure (BMC Bioinformatics)

Their papers