Gene essentiality prediction based on chaos game representation and spiking neural networks
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DOI: 10.1016/j.chaos.2021.110649
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References listed on IDEAS
- Kaushik Roy & Akhilesh Jaiswal & Priyadarshini Panda, 2019. "Towards spike-based machine intelligence with neuromorphic computing," Nature, Nature, vol. 575(7784), pages 607-617, November.
- Zhou, Qian & Yu, Yong-ming, 2014. "Comparative analysis of bacterial essential and nonessential genes with Hurst exponent based on chaos game representation," Chaos, Solitons & Fractals, Elsevier, vol. 69(C), pages 209-216.
- da Silva, João Paulo Müller & Acencio, Marcio Luis & Mombach, José Carlos Merino & Vieira, Renata & da Silva, José Camargo & Lemke, Ney & Sinigaglia, Marialva, 2008. "In silico network topology-based prediction of gene essentiality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(4), pages 1049-1055.
- Xiao Liu & Bao-Jin Wang & Luo Xu & Hong-Ling Tang & Guo-Qing Xu, 2017. "Selection of key sequence-based features for prediction of essential genes in 31 diverse bacterial species," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-13, March.
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Cited by:
- Guo, Lei & Guo, Minxin & Wu, Youxi & Xu, Guizhi, 2023. "Specific neural coding of fMRI spiking neural network based on time coding," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
- Bukhari, Ayaz Hussain & Raja, Muhammad Asif Zahoor & Shoaib, Muhammad & Kiani, Adiqa Kausar, 2022. "Fractional order Lorenz based physics informed SARFIMA-NARX model to monitor and mitigate megacities air pollution," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
- Guo, Lei & Liu, Chengjun & Wu, Youxi & Xu, Guizhi, 2023. "fMRI-based spiking neural network verified by anti-damage capabilities under random attacks," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
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Keywords
Chaos game representation; Essential gene prediction; Spiking neural networks; Bacteria;All these keywords.
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