John Lees

Genetics · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John Lees trusts overall

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

  1. Leland McInnes
  2. Andrei Z. Broder
  3. Lu Cheng
  4. Michael I. Jordan
  5. J. K. Pritchard
  6. Jukka Corander
  7. John Healy
  8. Siu Kwan Lam
  9. Lam-Tung Nguyen
  10. Alexander Strehl

Who trusts John Lees overall

  1. Gerry Tonkin-Hill

Papers from John Lees's perspective

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

  1. Scikit-learn: Machine Learning in Python
  2. Bayesian identification of admixture events using multilocus molecular markers (Molecular Ecology)
  3. FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments (PLoS ONE)
  4. Mash: fast genome and metagenome distance estimation using MinHash (Genome Biology)
  5. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
  6. Genomic analysis of diversity, population structure, virulence, and antimicrobial resistance in Klebsiella pneumoniae, an urgent threat to public health (Proceedings of the National Academy of Sciences of the United States of America)
  7. Variational inference for Dirichlet process mixtures
  8. Numba: a LLVM-based Python JIT compiler
  9. hdbscan: Hierarchical density based clustering (Journal of Open Source Software)
  10. Fast model-based estimation of ancestry in unrelated individuals. (Genome Research)

Their papers