Heather J. Cordell

Genetics · 2001–2018

A researcher in the Science corpus: 8 papers; trusts 31 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Heather J. Cordell trusts overall

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

  1. Kathryn L. Lunetta
  2. Jason H. Moore
  3. Charles L. Kooperberg
  4. Matthew R. Nelson
  5. W. James Gauderman
  6. Alexandre Bureau
  7. Eric R. Ziegel
  8. Ingo Ruczinski
  9. Sharon L. R. Kardia
  10. David Ruppert

Who trusts Heather J. Cordell overall

  1. Jason H. Moore
  2. Duncan C. Thomas
  3. Xiang Wan
  4. X. Chen
  5. J. Wendland
  6. Ryan J. Urbanowicz
  7. Can Yang
  8. Nicholas Pudjihartono
  9. Pengyi Yang
  10. Jing Li

Papers from Heather J. Cordell's perspective

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

  1. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.
  2. Random Forests
  3. A combinatorial partitioning method to identify multilocus genotypic partitions that predict quantitative trait variation. (Genome Research)
  4. Genome-wide strategies for detecting multiple loci that influence complex diseases (Nature Genetics)
  5. Screening large-scale association study data: exploiting interactions using random forests
  6. Identifying SNPs predictive of phenotype using random forests (Genetic Epidemiology)
  7. Genes mirror geography within Europe (Nature)
  8. Likelihood-Based Association Analysis for Nuclear Families and Unrelated Subjects with Missing Genotype Data (Human Heredity)
  9. Results of a Prospective Study of Acute Liver Failure at 17 Tertiary Care Centers in the United States (Annals of Internal Medicine)
  10. Incidence of drug‐induced hepatic injuries: A French population‐based study (Hepatology)

Their papers