Application of latent semantic analysis to protein remote ho…
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- DOI 10.1093/bioinformatics/bti801
- PMID https://pubmed.ncbi.nlm.nih.gov/16317074
- OpenAlex ID W2148279834
- Type Article
- Language EN
- Published 29 Nov 2005
- Volume 22 (3)
- Pages 285–290
- Source Bioinformatics
- Publisher Oxford University Press
- FWCI 2.36
- Countries 1
- Institutions 1
- Added 24 Jun 2016
- Updated 27 Oct 2026
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Application of latent semantic analysis to protein remote homology detection
Article 2005 EN Bronze
MOTIVATION: Remote homology detection between protein sequences is a central problem in computational biology. The discriminative method such as the support vector machine (SVM) is one of the most effective methods. Many of the SVM-based methods focus on finding useful representations of protein sequence, using either explicit feature vector representations or kernel functions. Such representation…
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3 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Qiwen Dong Corresponding | Harbin Institute of Technology (CN) | |
| 2 | Xiaolong Wang | Harbin Institute of Technology (CN) | |
| 3 | Lei Lin | Harbin Institute of Technology (CN) |
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