Article

RegVar: Tissue-specific Prioritization of Noncoding Regulatory Variants

2021-04-19

Abstract excerpt

Noncoding genomic variants constitute the majority of trait-associated genome variations; however, identification of functional noncoding variants is still a challenge in human genetics, and a method systematically assessing the impact of regulatory variants on gene expression and linking them to potential target genes is still lacking. Here we introduce a deep neural network (DNN)-based computational framework, R...

Topics

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

Identifiers and source

Literature Corpus work: 04cdc8ee-acfa-5250-a6a5-8be3609427b3
DOI: 10.1101/2021.04.17.440295

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

RegVar: Tissue-specific Prioritization of Noncoding Regulatory VariantsDOI 10.1101/2021.04.17.440295Read

RegVar: Tissue-specific Prioritization of Non-coding Regulatory Variants.Semantic proximity Read

Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospects.Semantic proximity Read

Predicting regulatory variants using a dense epigenomic mapped CNN model elucidated the molecular basis of trait-tissue associations.Semantic proximity Read

Predicting effects of noncoding variants with deep learning-based sequence model.Semantic proximity Read

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

Identifying noncoding risk variants using disease-relevant gene regulatory networks.Semantic proximity Read

FIRE: functional inference of genetic variants that regulate gene expression.Semantic proximity Read

Quantifying the regulatory potential of genetic variants via a hybrid sequence-oriented model with SVEN.Semantic proximity Read

Organ-specific prioritization and annotation of non-coding regulatory variants in the human genomeSemantic proximity Read

Principles and methods of in-silico prioritization of non-coding regulatory variants.Semantic proximity Read

DeepFun: a deep learning sequence-based model to decipher non-coding variant effect in a tissue- and cell type-specific manner.Semantic proximity Read

GREEN-DB: A framework for the annotation and prioritization of non-coding regulatory variants from whole-genome sequencing dataSemantic proximity Read