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...

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Detalles Bibliográficos
Autores principales: Singh, Noopur, Nath, Ravindra, Singh, Dev Bukhsh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
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

Internet

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

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