L. Cox

Molecular Biology · 2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom L. Cox trusts

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

  1. Steve Horvath (in Molecular Biology)
  2. Peter Langfelder (in Molecular Biology)
  3. John Shawe-Taylor (in Computer Vision and Pattern Recognition)
  4. David Roi Hardoon (in Computer Vision and Pattern Recognition)

Papers from L. Cox's perspective

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

  1. WGCNA: an R package for weighted correlation network analysis (BMC Bioinformatics)
  2. Structuring and extracting knowledge for the support of hypothesis generation in molecular biology (BMC Bioinformatics)
  3. The cancer genome (Nature)
  4. Pan-cancer patterns of somatic copy-number alteration (Nature Genetics)
  5. Integrative clinical genomics of advanced prostate cancer (Cell)
  6. Mass-spectrometric exploration of proteome structure and function (Nature)
  7. Sparse canonical correlation analysis (Machine-mediated learning)
  8. Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present (Analytical and Bioanalytical Chemistry)
  9. KNIME - the Konstanz information miner: version 2.0 and beyond (SKDD)
  10. The Human Connectome: A Structural Description of the Human Brain

Their papers