iEnhancer-RF: Identifying enhancers and their strength by enhanced feature representation using random forest-Reference-Cited by-同舟云学术

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iEnhancer-RF: Identifying enhancers and their strength by enhanced feature representation using random forest

Published:2021-05 Issue: Volume:212 Page:104284
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Lim Dae Yeong^ORCID,Khanal Jhabindra,Tayara Hilal^ORCID,Chong Kil To^ORCID

Funder

Kementerian Pendidikan Malaysia

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference75 articles.

1. Functional and mechanistic diversity of distal transcription enhancers;Bulger;Cell,2011

2. Modification of enhancer chromatin: what, how, and why?;Calo;Mol. Cell,2013

3. Enhancer function: mechanistic and genome-wide insights come together;Plank;Mol. Cell,2014

4. Polycomb-dependent h3k27me1 and h3k27me2 regulate active transcription and enhancer fidelity;Ferrari;Mol. Cell,2014

5. Controlling long-range genomic interactions at a native locus by targeted tethering of a looping factor;Deng;Cell,2012

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network;Journal of Chemical Information and Modeling;2024-07-01

2. A Comparative Review and Analysis of Computational Predictors for Identification of Enhancer and their Strength;Current Bioinformatics;2024-06-04

3. EnhancerBD identifing sequence feature;2024-03-11

4. ADH-Enhancer: an attention-based deep hybrid framework for enhancer identification and strength prediction;Briefings in Bioinformatics;2024-01-22

5. A Novel Predictor for the Analysis and Prediction of Enhancers and Their Strength via Multi-View Features and Deep Forest;Information;2023-11-28

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