Identifying Enhancers and Their Strength Based on PCWM Feature by A Two-Layer Predictor-Reference-Cited by-同舟云学术

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Identifying Enhancers and Their Strength Based on PCWM Feature by A Two-Layer Predictor

Published:2021-07-20 Issue: Volume: Page:
ISSN:
Container-title:The Fifth International Conference on Biological Information and Biomedical Engineering
language:
Short-container-title:

Author:

Yang Huan¹,Wang Shunfang¹

Affiliation:

1. Yunnan University, China

Funder

Natural Science Foundation of Yunnan Province

Training Plan for Young and Middle-aged Academic Leaders of Yunnan Province

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3469678.3469707

Reference24 articles.

1. Molecular analysis of the prostate-specific antigen upstream gene enhancer

2. Transcriptional enhancers: from properties to genome-wide predictions

3. Discover regulatory DNA elements using chromatin signatures and artificial neural network

4. DEEP: a general computational framework for predicting enhancers

5. iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition[J];Liu B;Bioinformatics,2015

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

2. 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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