Joseph M. Schaeffer

Molecular Biology · 2007

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Joseph M. Schaeffer trusts overall

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

  1. Robert M. Dirks
  2. D. Mathews
  3. Niles A. Pierce

Who trusts Joseph M. Schaeffer overall

  1. David Y. Zhang

Papers from Joseph M. Schaeffer's perspective

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

  1. A statistical sampling algorithm for RNA secondary structure prediction. (Nucleic Acids Research)
  2. RNA Pseudoknot Prediction in Energy-Based Models (J. Comput. Biol.)
  3. Using an RNA secondary structure partition function to determine confidence in base pairs predicted by free energy minimization. (RNA: A publication of the RNA Society)
  4. A partition function algorithm for nucleic acid secondary structure including pseudoknots (Journal of Computational Chemistry)
  5. Convex analysis and minimization algorithms
  6. I and i
  7. statistical-physics-part-1
  8. Review of 'Numerical Optimization' by Bonnans, Gilbert, Lemaréchal and Sagastizabal
  9. A deoxyribozyme-based molecular automaton (Nature Biotechnology)
  10. A 1.7-kilobase single-stranded DNA that folds into a nanoscale octahedron (Nature)

Their papers