PredTAD: A machine learning framework that models 3D chromatin organization alterations leading to oncogene dysregulation in breast cancer cell lines-Reference-Cited by-同舟云学术

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PredTAD: A machine learning framework that models 3D chromatin organization alterations leading to oncogene dysregulation in breast cancer cell lines

Published:2021 Issue: Volume:19 Page:2870-2880
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Chyr Jacqueline,Zhang Zhigang,Chen Xi,Zhou Xiaobo

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference95 articles.

1. Comprehensive mapping of long-range interactions reveals folding principles of the human genome;Lieberman-Aiden;Science,2009

2. Subtle changes in chromatin loop contact propensity are associated with differential gene regulation and expression;Greenwald;Nat Commun,2019

3. Exploring 3D chromatin contacts in gene regulation: the evolution of approaches for the identification of functional enhancer-promoter interaction;Xu;Comput Struct Biotechnol J,2020

4. Free energy-based model of CTCF-mediated chromatin looping in the human genome;Dawson;Methods,2020

5. Recent evidence that TADs and chromatin loops are dynamic structures;Hansen;Nucleus,2018

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1. Multi-Omics Data Analysis for Cancer Research: Colorectal Cancer, Liver Cancer and Lung Cancer;Methodologies of Multi-Omics Data Integration and Data Mining;2023

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