The development of modern genome editing tools has enabled researchers to make such edits with high precision but has left unsolved the problem of designing these edits. As a solution, we propose Ledi...

Enformer Celltyping is a genomic deep learning model that predicts epigenetic signals in unseen cell types using distal DNA interactions and chromatin accessibility data. Here, authors show it general...

Borzoi adapts the Enformer sequence-to-expression model to directly predict RNA-seq coverage, enabling the in-silico analysis of variant effects across multiple layers of gene regulation.

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Abstract. To understand the complex relationship between histone mark activity and gene expression, recent advances have used in silico predictions based o

Recent advances in self-supervised models for natural language, vision, and protein sequences have inspired the development of large genomic DNA language models (DNALMs). These models aim to learn gen...

Enformer Celltyping is a genomic deep learning model that predicts epigenetic signals in unseen cell types using distal DNA interactions and chromatin accessibility data. Here, authors show it general...

Enformer Celltyping is a genomic deep learning model that predicts epigenetic signals in unseen cell types using distal DNA interactions and chromatin accessibility data. Here, authors show it general...

Predicting how genetic variation affects phenotypic outcomes at the organismal, cellular, and molecular levels requires deciphering the cis-regulatory code, the sequence rules by which non-coding regi...