Nate Barney

Molecular Biology · 2006

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nate Barney trusts

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

  1. Jason H. Moore (in Molecular Biology)
  2. David Ruppert (in Evaluation & Benchmarks)
  3. Lance W. Hahn (in Molecular Biology)
  4. Marylyn DeRiggi Ritchie (in Molecular Biology)

Papers from Nate Barney's perspective

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

  1. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  2. Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions (Bioinform.)
  3. Power of multifactor dimensionality reduction for detecting gene‐gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity (Genetic Epidemiology)
  4. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.
  5. Traversing the conceptual divide between biological and statistical epistasis: systems biology and a more modern synthesis. (Bioessays)
  6. The Strategy of the Genes
  7. Modular epistasis in yeast metabolism (Nature Genetics)
  8. The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases (Human Heredity)
  9. Genetic Algorithms in Search Optimization and Machine Learning
  10. Genome-wide association studies: theoretical and practical concerns (Nature reviews genetics)

Their papers