Jun Ding

Genetics · Nature Genetics · 2009–2018

A researcher in the Science corpus: 7 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Ding trusts overall

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

  1. Matthew Stephens
  2. Paul Scheet
  3. Jonathan Marchini

Who trusts Jun Ding overall

  1. Brian L. Browning
  2. Olivier Delaneau
  3. Heng Li
  4. Bryan N. Howie
  5. Jonathan Marchini

Papers from Jun Ding's perspective

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

  1. A new statistical method for haplotype reconstruction from population data. (American Journal of Human Genetics)
  2. Calibrating a coalescent simulation of human genome sequence variation. (Genome Research)
  3. High-resolution haplotype structure in the human genome (Nature Genetics)
  4. Accounting for decay of linkage disequilibrium in haplotype inference and missing-data imputation. (American Journal of Human Genetics)
  5. Modeling linkage disequilibrium and identifying recombination hotspots using single-nucleotide polymorphism data. (Genetics)
  6. Genotype Imputation (Annual review of genomics and human genetics (Print))
  7. Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium. (American Journal of Human Genetics)
  8. A comparison of phasing algorithms for trios and unrelated individuals. (American Journal of Human Genetics)
  9. A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase. (American Journal of Human Genetics)
  10. Partition-ligation-expectation-maximization algorithm for haplotype inference with single-nucleotide polymorphisms. (American Journal of Human Genetics)

Their papers