ArticleGenes2019
Deep Splicing Code: Classifying Alternative Splicing Events Using Deep Learning.
Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- Comprehensive review and assessment of multi-species splicing variant prediction: task-specific deep learning models and genomic foundation models.Briefings in bioinformatics · 2026Review
- Helixer: ab initio prediction of primary eukaryotic gene models combining deep learning and a hidden Markov model.Nature methods · 2026Article
- ASPECT: Alternative Splicing Event Classification with Transformers.bioRxiv : the preprint server for biology · 2026Article
- Predicting splicing patterns from the transcription factor binding sites in the promoter with deep learning.BMC genomics · 2024Article
- Reference-informed prediction of alternative splicing and splicing-altering mutations from sequences.Genome research · 2024Article
- Reference-informed prediction of alternative splicing and splicing-altering mutations from sequences.bioRxiv : the preprint server for biology · 2024Article
- DeepSplice: a deep learning approach for accurate prediction of alternative splicing events in the human genome.Frontiers in genetics · 2024Article
- Advances in alternative splicing identification: deep learning and pantranscriptome.Frontiers in plant science · 2023Article
- Decoding disease: from genomes to networks to phenotypes.Nature reviews. Genetics · 2021Review
- Benchmarking deep learning splice prediction tools using functional splice assays.Human mutation · 2021Article
- Computing the Role of Alternative Splicing in Cancer.Trends in cancer · 2021Review
- Isoform Age - Splice Isoform Profiling Using Long-Read Technologies.Frontiers in molecular biosciences · 2021Review
- Article
- HBA-DEALS: accurate and simultaneous identification of differential expression and splicing using hierarchical Bayesian analysis.Genome biology · 2020Article
- Improving the Quantification of DNA Sequences Using Evolutionary Information Based on Deep Learning.Cells · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alternative splicing (AS) is the process of combining different parts of the pre-mRNA to produce diverse transcripts and eventually different protein products from a single gene. In computational biology field, researchers try to understand AS behavior and regulation using computational models known as "Splicing Codes". The final goal of these algorithms is to make an in-silico prediction of AS outcome from genomic sequence. Here, we develop a deep learning approach, called Deep Splicing Code (DSC), for categorizing the well-studied classes of AS namely alternatively skipped exons, alternative 5
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.