Integrating steady-state and dynamic gene expression data for improving genetic network modelling-Reference-Cited by-同舟云学术

Integrating steady-state and dynamic gene expression data for improving genetic network modelling

Published:2022-08-15 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
language:
Short-container-title:

Author:

Gill Jaskaran¹,Chetty Madhu¹,Shatte Adrian¹,Hallinan Jennifer²

Affiliation:

1. Health innovation and Transformation Centre, Federation University,Churchill,VIC,Australia,3842

2. BioThink Pty Ltd,Brisbane,QLD,Australia,4020

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9862939/9863009/09863045.pdf?arnumber=9863045

Reference33 articles.

1. Reconstructing genetic networks with concurrent representation of instantaneous and time-delayed interactions

2. Reverse Engineering of Gene Regulatory Networks Using Dissipative Particle Swarm Optimization;palafox;IEEE Transactions on Evolutionary Computation,2012

3. Adaptive Regulatory Gene Cardinatility for Reconstructing Genetic Networks;chowdhury;2012 IEEE Congress on Evolutionary Computation,0

4. Introducing ACO+ for Modeling Gene Regulatory;jahan;2018 Joint 7th International Conference on Informatics Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging Vision & Pattern Recognition (icIVPR),0

5. Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics

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. PPRTGI: A Personalized PageRank Graph Neural Network for TF-Target Gene Interaction Detection;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2024-05

2. A Robust Ensemble Regression Model for Reconstructing Genetic Networks;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18