DRANetSplicer: A Splice Site Prediction Model Based on Deep Residual Attention Networks

X Liu, H Zhang, Y Zeng, X Zhu, L Zhu, J Fu - Genes, 2024 - mdpi.com
The precise identification of splice sites is essential for unraveling the structure and function
of genes, constituting a pivotal step in the gene annotation process. In this study, we …

Splicescanner: An accurate and interpretable deep learning-based method for splice site prediction

R Wang, J Xu, X Huang, W Qi, Y Zhang - International Conference on …, 2023 - Springer
The identification of splice sites is significant to the delineation of gene structure and the
understanding of complicated alternative mechanisms underlying gene transcriptional …

EnsembleSplice: ensemble deep learning model for splice site prediction

V Akpokiro, T Martin, O Oluwadare - BMC bioinformatics, 2022 - Springer
Background Identifying splice site regions is an important step in the genomic DNA
sequencing pipelines of biomedical and pharmaceutical research. Within this research …

[HTML][HTML] Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA

S Albaradei, A Magana-Mora, M Thafar, M Uludag… - Gene, 2020 - Elsevier
Background The accurate identification of the exon/intron boundaries is critical for the
correct annotation of genes with multiple exons. Donor and acceptor splice sites (SS) …

Edeepssp: explainable deep neural networks for exact splice sites prediction

S Amilpur, R Bhukya - Journal of Bioinformatics and Computational …, 2020 - World Scientific
Splice site prediction is crucial for understanding underlying gene regulation, gene function
for better genome annotation. Many computational methods exist for recognizing the splice …

SpliceCannon: A novel framework for the prediction of canonical and non-canonical splice sites based on deep learning

Y Zhang, W Qi, R Lin, J Fan - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Accurately predicting splice sites in DNA sequences is not only of utmost importance in the
study of gene expression and protein synthesis, but also crucial to precisely understanding …

Deepss: Exploring splice site motif through convolutional neural network directly from dna sequence

X Du, Y Yao, Y Diao, H Zhu, Y Zhang, S Li - IEEE Access, 2018 - ieeexplore.ieee.org
Splice sites prediction and interpretation are crucial to the understanding of complicated
mechanisms underlying gene transcriptional regulation. Although existing computational …

AttentionSplice: An Interpretable Multi‐Head Self‐Attention Based Hybrid Deep Learning Model in Splice Site Prediction

W YAN, B ZHANG, M ZUO, Q ZHANG… - Chinese Journal of …, 2022 - Wiley Online Library
Pre‐mRNA splicing is an essential procedure for gene transcription. Through the cutting of
introns and exons, the DNA sequence can be decoded into different proteins related to …

SpliceRover: interpretable convolutional neural networks for improved splice site prediction

J Zuallaert, F Godin, M Kim, A Soete, Y Saeys… - …, 2018 - academic.oup.com
Motivation During the last decade, improvements in high-throughput sequencing have
generated a wealth of genomic data. Functionally interpreting these sequences and finding …

[HTML][HTML] CNNSplice: Robust models for splice site prediction using convolutional neural networks

V Akpokiro, HMAM Chowdhury, S Olowofila… - Computational and …, 2023 - Elsevier
The identification of splice site, or segments of an RNA gene where noncoding and coding
sequences are connected in the 5′ and 3′ directions, is an essential post-transcriptional …