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Splice-site identification for exon prediction using bidirectional LSTM-RNN approach
Machine learning methods played a major role in improving the accuracy of predictions and classification of DNA (Deoxyribonucleic Acid) and protein sequences. In eukaryotes, Splice-site identification and prediction is though not a straightforward job because of numerous false positives. To solve th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9157471/ https://www.ncbi.nlm.nih.gov/pubmed/35663929 http://dx.doi.org/10.1016/j.bbrep.2022.101285 |