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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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| 出版年: | Genome Res |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Cold Spring Harbor Laboratory Press
2004
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC524420/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/15466294/ https://ncbi.nlm.nih.govhttps://doi.org/10.1101/gr.2650004 |
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