Identifying polyadenylation signals with biological embedding via self-attentive gated convolutional highway networks
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Title
Identifying polyadenylation signals with biological embedding via self-attentive gated convolutional highway networks
Authors
Keywords
Polyadenylation signals, Gated convolutional networks, Self-attention mechanisms, Highway networks, Biological embedding
Journal
APPLIED SOFT COMPUTING
Volume -, Issue -, Pages 107133
Publisher
Elsevier BV
Online
2021-01-23
DOI
10.1016/j.asoc.2021.107133
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- The Ensembl gene annotation system
- (2016) Bronwen L. Aken et al. Database-The Journal of Biological Databases and Curation
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features
- (2014) Mahmoud Ghandi et al. PLoS Computational Biology
- Poly(A) motif prediction using spectral latent features from human DNA sequences
- (2013) Bo Xie et al. BIOINFORMATICS
- Alternative cleavage and polyadenylation: extent, regulation and function
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- Dragon PolyA Spotter: predictor of poly(A) motifs within human genomic DNA sequences
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- Ending the message: poly(A) signals then and now
- (2011) N. J. Proudfoot GENES & DEVELOPMENT
- POLYAR, a new computer program for prediction of poly(A) sites in human sequences
- (2010) Malik Akhtar et al. BMC GENOMICS
- A classification-based prediction model of messenger RNA polyadenylation sites
- (2010) Guoli Ji et al. JOURNAL OF THEORETICAL BIOLOGY
- The completion of the Mammalian Gene Collection (MGC)
- (2009) et al. GENOME RESEARCH
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