Article

Deep Learning Deciphers the Related Role of Master Regulators and G-Quadruplexes in Tissue Specification

2025-03-11

Abstract excerpt

<title>Abstract</title> <p>G-quadruplexes (GQs) are non-canonical DNA structures encoded by G-flipons that may play critical roles in gene regulation and chromatin structure. Here, we explore the role of G-flipons in tissue specification. We present a deep learning-based framework for the genome-wide G-flipon predictions across 14 human tissue types. The model was trained with high confidence experimental maps of...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6083284f-cf8f-5f0d-9887-b8da4b309d9a
DOI: 10.21203/rs.3.rs-6165621/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning Deciphers the Related Role of Master Regulators and G-Quadruplexes in Tissue SpecificationDOI 10.21203/rs.3.rs-6165621/v1Read

Z-Flipons conserved between human and mouse are associated with increased transcription initiation ratesSemantic proximity Read

Z-DNA formation in promoters conserved between human and mouse are associated with increased transcription initiation ratesSemantic proximity Read

DeepG4 : A deep learning approach to predict active G-quadruplexes from DNASemantic proximity Read

G-quadruplex profiling in complex tissues using single-cell CUT&TagSemantic proximity Read

G-quadruplexes as pivotal components of <i>cis</i> -regulatory elements in the human genomeSemantic proximity Read

Extensive binding of nebulous human transcription factors to genomic dark matterSemantic proximity Read

Fundamentals for predicting transcriptional regulations from DNA sequence patterns.Semantic proximity Read

G-Quadruplex Structures Are Key Modulators of Somatic Structural Variants in CancersSemantic proximity Read

Systematic Prediction of Regulatory Motifs from Human ChIP-Sequencing Data Based on a Deep Learning FrameworkSemantic proximity Read

Explain-seq: an end-to-end pipeline from training to interpretation of sequence-based deep learning modelsSemantic proximity Read

The nascent transcriptome delineates the regulatory landscape in human health and diseaseSemantic proximity Read

Decoding Chromatin Dynamics in Cardiac Organoids Reveals Genetic Drivers of Human Heart Development and DiseaseSemantic proximity Read