Predicting splicing patterns from the transcription factor binding sites in the promoter with deep l...
Predicting splicing patterns from the transcription factor binding sites in the promoter with deep learning
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Alternative splicing is a pivotal mechanism of post-transcriptional modification that contributes to the transcriptome plasticity and proteome diversity in metazoan cells. Although many splicing regulations around the exon/intron regions are known, the relationship between promoter-bound transcription factors and the downstream alternative splicing...
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Full title
Predicting splicing patterns from the transcription factor binding sites in the promoter with deep learning
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TN_cdi_doaj_primary_oai_doaj_org_article_98ad9acef61a48188f47e2223ca9c95a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_98ad9acef61a48188f47e2223ca9c95a
Other Identifiers
ISSN
1471-2164
E-ISSN
1471-2164
DOI
10.1186/s12864-024-10667-7
