Avi Swartz

Computational Biology & Bioinformatics · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Avi Swartz trusts overall

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

  1. Hetunandan Kamisetty

Papers from Avi Swartz's perspective

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

  1. Identification of direct residue contacts in protein–protein interaction by message passing
  2. Learning generative models for protein fold families
  3. PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments
  4. Direct-coupling analysis of residue coevolution captures native contacts across many protein families
  5. Correlated mutations in models of protein sequences: phylogenetic and structural effects
  6. Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models.
  7. Assessing the utility of coevolution-based residue–residue contact predictions in a sequence- and structure-rich era
  8. Fast and Accurate Multivariate Gaussian Modeling of Protein Families: Predicting Residue Contacts and Protein-Interaction Partners
  9. Mutual information without the influence of phylogeny or entropy dramatically improves residue contact prediction
  10. Statistical Analysis of Non-Lattice Data

Their papers