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Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models

Research article (Cell Systems, 2023) · cited 19× · AI/ML
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Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models

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Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models is a scholarly article[1].

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  • Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models's instance of is recorded as scholarly article[2].

Related Entities

Yuanhua Huang

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models. Retrieved May 24, 2026, from https://4ort.xyz/entity/discovery-of-regulatory-motifs-in-5-untranslated-regions-using-interpretable-multi-task-learning-models
MLA “Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/discovery-of-regulatory-motifs-in-5-untranslated-regions-using-interpretable-multi-task-learning-models.
BibTeX @misc{4ortxyz_discovery-of-regulatory-motifs-in-5-untranslated-regions-using-interpretable-multi-task-learning-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models}}, year = {2026}, url = {https://4ort.xyz/entity/discovery-of-regulatory-motifs-in-5-untranslated-regions-using-interpretable-multi-task-learning-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models — https://4ort.xyz/entity/discovery-of-regulatory-motifs-in-5-untranslated-regions-using-interpretable-multi-task-learning-models (retrieved 2026-05-24)

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