DeePromClass: Delineator for Eukaryotic Core Promoters employing Deep Neural Networks-Reference-Cited by-同舟云学术

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DeePromClass: Delineator for Eukaryotic Core Promoters employing Deep Neural Networks

Published:2022 Issue: Volume: Page:1-1
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Kari Hemanth,Bandi Surya Manikhanta Sowri,Kumar Aditya,Yella Venkata Rajesh

Funder

Science and Engineering Research Board

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/09745351.pdf?arnumber=9745351

Reference39 articles.

1. Evolution of Diverse Strategies for Promoter Regulation

2. Identification of putative promoters in 48 eukaryotic genomes on the basis of DNA free energy

3. Performance measures in evaluating machine learning based bioinformatics predictors for classifications

4. DNA STRUCTURAL FEATURES AND ARCHITECTURE OF PROMOTER REGIONS PLAY A ROLE IN GENE RESPONSIVENESS OF S. cerevisiae

5. Universal promoter scanning by Pol II during transcription initiation in Saccharomyces cerevisiae

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. Nucleic Transformer: Classifying DNA Sequences with Self-Attention and Convolutions;ACS Synthetic Biology;2023-11-02

2. Dissecting G-Quadruplexes and I-Motifs in Cis-Regulatory Regions of Mammals and Plants;International Journal of Life Science and Pharma Research;2022-07-08

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