Kasper Lamberth
BMC Bioinformatics · 2003–2008
A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Whom Kasper Lamberth trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Kasper Lamberth overall
- Morten Nielsen
- Massimo Andreatta
- Peng Wang
- Shutao Mei
- Rohit Bhattacharya
- Vanessa Isabell Jurtz
- Sinu Paul
Papers from Kasper Lamberth's perspective
Ordered by how strongly the researchers Kasper Lamberth trusts endorse each paper. Same corpus, a different order for every researcher.
- A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules (PLoS Comput. Biol.)
- Reliable prediction of T‐cell epitopes using neural networks with novel sequence representations
- An integrative approach to CTL epitope prediction: A combined algorithm integrating MHC class I binding, TAP transport efficiency, and proteasomal cleavage predictions (European Journal of Immunology)
- Amino acid substitution matrices from protein blocks.
- The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003
- Prediction of MHC class I binding peptides using profile motifs. (Human Immunology)
- Sensitive quantitative predictions of peptide-MHC binding by a 'Query by Committee' artificial neural network approach. (Tissue Antigens)
- Selection of representative protein data sets
- Measuring the accuracy of diagnostic systems.
- On Information and Sufficiency
Their papers
- A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules (2006) — 308 citations
- NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence (2007) — 693 citations
- NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8–11 (2008) — 815 citations
- An integrative approach to CTL epitope prediction: A combined algorithm integrating MHC class I binding, TAP transport efficiency, and proteasomal cleavage predictions (2005) — 324 citations
- Reliable prediction of T‐cell epitopes using neural networks with novel sequence representations (2003) — 380 citations
- Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction (2007) — 925 citations