Jeff Kiralis

Genetics · 2009–2012

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Jeff Kiralis trusts overall

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

  1. Heather J. Cordell
  2. Ryan J. Urbanowicz
  3. Jason H. Moore
  4. Igor Kononenko
  5. Ester Bernadó-Mansilla
  6. Casey S. Greene
  7. Marko Robnik-Sikonja

Who trusts Jeff Kiralis overall

  1. Randal S. Olson
  2. Ryan J. Urbanowicz
  3. Jason H. Moore
  4. Jing Li
  5. James D. Malley
  6. Zexian Zeng
  7. Nathan Bartley

Papers from Jeff Kiralis's perspective

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

  1. Estimating Attributes: Analysis and Extensions of RELIEF
  2. Traversing the conceptual divide between biological and statistical epistasis: systems biology and a more modern synthesis. (Bioessays)
  3. Theoretical and Empirical Analysis of ReliefF and RReliefF (Machine-mediated learning)
  4. Detecting gene-gene interactions that underlie human diseases (Nature reviews genetics)
  5. Epistasis—the essential role of gene interactions in the structure and evolution of genetic systems (Nature reviews genetics)
  6. Missing heritability and strategies for finding the underlying causes of complex disease (Nature reviews genetics)
  7. Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans. (Human Molecular Genetics)
  8. Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions
  9. Learning classifier systems: a complete introduction, review, and roadmap
  10. GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures

Their papers