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Prediction of MHC Class I Binding Peptides by a Query Learning Algorithm Based on Hidden Markov Models
A query learning algorithm based on hidden Markov models (HMMs) isdeveloped to design experiments for string analysis and prediction of MHCclass I binding peptides. Query learning is introduced to aim at reducingthe number of peptide binding data for training of HMMs. A multiple numberof HMMs, which...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Kluwer Academic Publishers
2002
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3456669/ https://ncbi.nlm.nih.gov/pubmed/23345768 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1023/A:1019931731519 |
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