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Predicting Subcellular Localization via Protein Motif Co-Occurrence
The prediction of subcellular localization of proteins from their primary sequence is a challenging problem in bioinformatics. We have created a Bayesian network localization predictor called PSLT that is based on the combinatorial presence of InterPro motifs and specific membrane domains in human p...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Cold Spring Harbor Laboratory Press
2004
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC524420/ https://ncbi.nlm.nih.gov/pubmed/15466294 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.2650004 |
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