EpiGePT: a pretrained transformer-based language model for context-specific human epigenomics

EpiGePT: a pretrained transformer-based language model for context-specific human epigenomics

Abstract The inherent similarities between natural language and biological sequences have inspired the use of large language models in genomics, but current models struggle to incorporate chromatin interactions or predict in unseen cellular contexts. To address this, we propose EpiGePT, a transforme...

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Bibliographic Details
Main Authors: Zijing Gao, Qiao Liu, Wanwen Zeng, Rui Jiang, Wing Hung Wong
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Genome Biology
Subjects:
Epigenomics
Gene Regulation
3D genome
Transformer
Language model
Online Access:https://doi.org/10.1186/s13059-024-03449-7
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https://doi.org/10.1186/s13059-024-03449-7

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