Peder Worning

Tissue Antigens · 2003

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Peder Worning trusts overall

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

1. Sean R. Eddy
2. Gregory R. Grant

Who trusts Peder Worning overall

1. J. L. Sánchez-Trincado

Papers from Peder Worning's perspective

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

1. Amino acid substitution matrices from protein blocks.
2. Selection of representative protein data sets
3. Profile hidden Markov models
4. Combining evolutionary information and neural networks to predict protein secondary structure
5. Bioinformatics - The Machine Learning Approach
6. Query by committee
7. The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000
8. Prediction of proteasome cleavage motifs by neural networks. (Protein Engineering)
9. Measuring the accuracy of diagnostic systems.
10. Announcing the worldwide Protein Data Bank

Their papers

• Reliable prediction of T‐cell epitopes using neural networks with novel sequence representations (2003) — 380 citations
• Sensitive quantitative predictions of peptide-MHC binding by a 'Query by Committee' artificial neural network approach. (2003) — 363 citations