John P. Barton
Statistics and Probability · 2013–2016
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 7 citations into it
Whom John P. Barton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from John P. Barton's perspective
Ordered by how strongly the researchers John P. Barton trusts endorse each paper. Same corpus, a different order for every researcher.
- Random matrix approach to cross correlations in financial data. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- The immune response during acute HIV-1 infection: clues for vaccine development (Nature reviews. Immunology)
- Evolution of digital organisms at high mutation rates leads to survival of the flattest (Nature)
- Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
- Using the principle of entropy maximization to infer genetic interaction networks from gene expression patterns
- Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Mitochondrial dysfunction - the beginning of the end in Alzheimer's disease? Separate and synergistic modes of tau and amyloid-β toxicity (Alzheimer's Research & Therapy)
- Physical Review Letters
- Proceedings of the National Academy of Sciences
Their papers
- Spin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapes (2013) — 79 citations
- Large pseudocounts and L2-norm penalties are necessary for the mean-field inference of Ising and Potts models. (2014) — 23 citations
- Relative rate and location of intra-host HIV evolution to evade cellular immunity are predictable (2016) — 67 citations
- The Fitness Landscape of HIV-1 Gag: Advanced Modeling Approaches and Validation of Model Predictions by In Vitro Testing (2014) — 146 citations