PLANNER: A Multi-Scale Deep Language Model for the Origins of Replication Site Prediction-Reference-Cited by-同舟云学术

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PLANNER: A Multi-Scale Deep Language Model for the Origins of Replication Site Prediction

Published:2024-04 Issue:4 Volume:28 Page:2445-2454
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Wang Cong¹^ORCID,He Zhijie¹^ORCID,Jia Runchang¹^ORCID,Pan Shirui²^ORCID,Coin Lachlan JM³^ORCID,Song Jiangning⁴^ORCID,Li Fuyi¹^ORCID

Affiliation:

1. College of Information Engineering, Northwest A&F University, Yangling, China

2. School of Information and Communication Technology, Griffith University, Brisbane, QLD, Australia

3. Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia

4. Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Qin Chuangyuan Innovation and Entrepreneurship Talent Project

Northwest A&F University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10491283/10380693.pdf?arnumber=10380693

Reference45 articles.

1. Chromosome Duplication in Saccharomyces cerevisiae

2. Multienzyme Systems of DNA Replication

3. Mechanisms for initiating cellular DNA replication

4. The importance of repairing stalled replication forks

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1. Advancing microRNA target site prediction with transformer and base-pairing patterns;Nucleic Acids Research;2024-09-13

2. Characterizing Secretion System Effector Proteins With Structure-Aware Graph Neural Networks and Pre-Trained Language Models;IEEE Journal of Biomedical and Health Informatics;2024-09

3. Advancing mRNA subcellular localization prediction with graph neural network and RNA structure;Bioinformatics;2024-08

4. m6A-TCPred: a web server to predict tissue-conserved human m6A sites using machine learning approach;BMC Bioinformatics;2024-03-25

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