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- W4387346509 abstract "Gene expression is regulated by various factors including nearby histone modifications (HMs), binding of transcription factors (TFs), and interplay of diverse cis-regulatory elements (CREs) in a cooperative manner. Two previous methods (GC-MERGE and Chromoformer) have been developed to predict gene expression by constructing a promoter-centered network based on 3D physical contacts between the promoter and CREs. However, these published models lack transferability to various size of promoter-centered graphs and quantify the influences of 3D physical contacts in gene regulation. In our approach, by jointly modeling multi-omics data, we can determine the main factors that regulate gene expression and can identify important CREs for each gene." @default.
- W4387346509 created "2023-10-05" @default.
- W4387346509 creator A5041396943 @default.
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- W4387346509 date "2023-09-03" @default.
- W4387346509 modified "2023-10-06" @default.
- W4387346509 title "Deciphering the contribution of 3D interactions between cis-regulatory elements and promoters to regulate gene expression using graph neural networks" @default.
- W4387346509 doi "https://doi.org/10.1145/3584371.3613033" @default.
- W4387346509 hasPublicationYear "2023" @default.
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