Academic Publication Deciphering the impact of genomic variation on function
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AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model
Deep learning models that predict functional genomic measurements from DNA sequence are powerful tools for deciphering the genetic regulatory code. Existing methods trade off between input sequence...
Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries
Abstract We develop a method, SBayesRC, that integrates genome-wide association study (GWAS) summary statistics with functional genomic annotations to improve polygenic prediction...
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches
Abstract The rapid advancement of high-throughput sequencing and other assay technologies has resulted in the generation of large and complex multi-omics datasets, offering unprecede...
ChIP-Atlas 3.0: a data-mining suite to explore chromosome architecture together with large-scale regulome data
Abstract ChIP-Atlas (https://chip-atlas.org/) presents a suite of data-mining tools for analyzing epigenomic landscapes, powered by the comprehensive integration of over 376 000 publ...
Analysis of cell-free DNA for cancer diagnostics using liquid biopsies
Chromatin organisation influences gene regulation and genome stability, yet its dysregulation in cancer remains incompletely understood. This has become particularly important for patient diagnosti...
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Yes, highly correlated activity was mapped. An entry titled 'AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model' discusses this: Deep learning models that predict functional genomic measurements from DNA sequence are powerful tools for deciphering the genetic regulatory code....
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