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Application of nonnegative matrix factorization to improve profile-profile alignment features for fold recognition and remote homolog detection
BACKGROUND: Nonnegative matrix factorization (NMF) is a feature extraction method that has the property of intuitive part-based representation of the original features. This unique ability makes NMF a potentially promising method for biological sequence analysis. Here, we apply NMF to fold recogniti...
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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: |
BioMed Central
2008
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2459191/ https://ncbi.nlm.nih.gov/pubmed/18590572 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-298 |
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