Xia Jiang

Genetics · 2016

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xia Jiang trusts overall

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

  1. Tom L. Burr
  2. Richard E. Neapolitan
  3. Lance W. Hahn
  4. Jason H. Moore
  5. Marylyn DeRiggi Ritchie
  6. Yu Zhang
  7. David E. Heckerman
  8. Jonathan Marchini
  9. Tong Tong Wu
  10. Ryan J. Urbanowicz

Papers from Xia Jiang's perspective

Ordered by how strongly the researchers Xia Jiang 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. Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions (Bioinform.)
  3. Genome-wide strategies for detecting multiple loci that influence complex diseases (Nature Genetics)
  4. GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures
  5. A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. (Journal of Theoretical Biology)
  6. Learning Bayesian networks: The combination of knowledge and statistical data
  7. Genome-wide association analysis by lasso penalized logistic regression (Bioinform.)
  8. Bayesian inference of epistatic interactions in case-control studies
  9. Learning Bayesian networks
  10. Causation, Prediction, and Search

Their papers