Article

DECODE: A De ep-learning Framework for Co n de nsing Enhancers and Refining Boundaries with Large-scale Functional Assays

2021-01-28

Abstract excerpt

<h4>Summary</h4> Mapping distal regulatory elements, such as enhancers, is the cornerstone for investigating genome evolution, understanding critical biological functions, and ultimately elucidating how genetic variations may influence diseases. Previous enhancer prediction methods have used either unsupervised approaches or supervised methods with limited training data. Moreover, past approaches have operational...

Topics

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

Identifiers and source

Literature Corpus work: 8c245936-16ce-538e-8558-9973f362f9cb
DOI: 10.1101/2021.01.27.428477

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

DECODE: A De ep-learning Framework for Co n de nsing Enhancers and Refining Boundaries with Large-scale Functional AssaysDOI 10.1101/2021.01.27.428477Read

EnhancerTracker: Comparing cell-type-specific enhancer activity of DNA sequence triplets via an ensemble of deep convolutional neural networksSemantic proximity Read

EnhancerDetector: Enhancer Discovery from Human to Fly via Interpretable Deep LearningSemantic proximity Read

An extensive enhancer-promoter map generated by genome-scale analysis of enhancer and gene activity patternsSemantic proximity Read

Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory VariantsSemantic proximity Read

eRNAformer enables genome-wide de novo mapping of enhancer-derived RNA lociSemantic proximity Read

An encyclopedia of enhancer-gene regulatory interactions in the human genomeSemantic proximity Read

Genome-Wide Prediction of cis -Regulatory Regions Using Supervised Deep Learning MethodsSemantic proximity Read

CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq dataSemantic proximity Read

Genome-wide Enhancer Maps Differ Significantly in Genomic Distribution, Evolution, and FunctionSemantic proximity Read

CREP: Cis-Regulatory Element Predictor Based on Fine-Tuned EnformerSemantic proximity Read

DeepCAPE: a deep convolutional neural network for the accurate prediction of enhancersSemantic proximity Read

Predicting Enhancer-Promoter Interaction from Genomic Sequence with Deep Neural NetworksSemantic proximity Read

DECODE: A <i>De</i> ep-learning Framework for <i>Co</i> n <i>de</i> nsing Enhancers and Refining Boundaries with Large-scale Functional Assays

Abstract excerpt

Topics

Identifiers and source

Related research