[HTML][HTML] Splice-site identification for exon prediction using bidirectional LSTM-RNN approach
N Singh, R Nath, DB Singh - Biochemistry and Biophysics Reports, 2022 - Elsevier
Abstract Machine learning methods played a major role in improving the accuracy of
predictions and classification of DNA (Deoxyribonucleic Acid) and protein sequences. In …
predictions and classification of DNA (Deoxyribonucleic Acid) and protein sequences. In …
Splice site recognition-deciphering Exon-Intron transitions for genetic insights using Enhanced integrated Block-Level gated LSTM model
M Sha, MP Rahamathulla - Gene, 2024 - Elsevier
Bioinformatics is a contemporary interdisciplinary area focused on analyzing the growing
number of genome sequences. Gene variants are differences in DNA sequences among …
number of genome sequences. Gene variants are differences in DNA sequences among …
[PDF][PDF] Prediction of eukaryotic exons using bidirectional lstm-rnn based deep learning model
N Singh, R Nath, DB Singh - Int. J, 2021 - academia.edu
Exon prediction has always been a challenge for computational biologist. Although there
have been many advances in identification and prediction of exons by computational …
have been many advances in identification and prediction of exons by computational …