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A Discriminative Approach for Unsupervised Clustering of DNA Sequence Motifs
Algorithmic comparison of DNA sequence motifs is a problem in bioinformatics that has received increased attention during the last years. Its main applications concern characterization of potentially novel motifs and clustering of a motif collection in order to remove redundancy. Despite growing int...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2013
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3605052/ https://ncbi.nlm.nih.gov/pubmed/23555204 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1002958 |
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