Sanne Lise Lauemøller

Tissue Antigens · 1999–2003

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Sanne Lise Lauemøller trusts overall

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

1. Burkhard Rost

Who trusts Sanne Lise Lauemøller overall

1. J. L. Sánchez-Trincado

Papers from Sanne Lise Lauemøller's perspective

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

1. Selection of representative protein data sets
2. Combining evolutionary information and neural networks to predict protein secondary structure
3. Profile hidden Markov models
4. Amino acid substitution matrices from protein blocks.
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. Prediction of protein secondary structure at better than 70% accuracy.

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
• Predicting binding affinities of protein ligands from three-dimensional models: application to peptide binding to class I major histocompatibility proteins. (1999)