John Bacon-Shone

Artificial Intelligence · 2011–2022

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom John Bacon-Shone trusts overall

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

  1. Juan José Egozcue
  2. J. Aitchison
  3. Vera Pawlowsky-Glahn
  4. Michael J. Greenacre
  5. J. Palarea‐Albaladejo
  6. David Ruppert
  7. Adelchi Azzalini
  8. Janice L. Scealy
  9. Adam P. Butler
  10. Josep-Antoni Martín-Fernández

Who trusts John Bacon-Shone overall

  1. Janice L. Scealy
  2. Michael J. Greenacre

Papers from John Bacon-Shone's perspective

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

  1. Biplots of Compositional Data
  2. Microbiome Datasets Are Compositional: And This Is Not Optional (Frontiers in Microbiology)
  3. Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model
  4. Droplet scRNA-seq is not zero-inflated (Nature Biotechnology)
  5. Information Geometry and Its Applications
  6. Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression (Genome Biology)
  7. Natural Scales in Geographical Patterns
  8. Analyzing Compositional Data with R
  9. zCompositions — R package for multivariate imputation of left-censored data under a compositional approach
  10. The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Their papers