Predictive modelling for molecular cancer profile classification using hybrid learning techniques-Reference-Cited by-同舟云学术

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Predictive modelling for molecular cancer profile classification using hybrid learning techniques

Published:2023-04-19 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Bhonde Swati B.,Wagh Sharmila K.,Prasad Jayashree R.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-08126-8.pdf

Reference43 articles.

1. Abdelwahab O, Awad N, Elserafy M, Badr E (2022) A feature selection-based framework to identify biomarkers for cancer diagnosis: a focus on lung adenocarcinoma. PLoS ONE 17(9 September):1–23. https://doi.org/10.1371/journal.pone.0269126

2. Al Abir F, Shovan SM, Hasan MAM, Sayeed A, Shin J (2022) Biomarker identification by reversing the learning mechanism of an autoencoder and recursive feature elimination. Mol Omics. https://doi.org/10.1039/d1mo00467

3. Alomari OA et al (2021) Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators. Knowledge-Based Syst 223:107034. https://doi.org/10.1016/j.knosys.2021.107034

4. Bahri Y, Kadmon J, Pennington J, Schoenholz SS, Sohl-Dickstein J, Ganguli S (2020) Statistical mechanics of deep learning. Annu Rev Condens Matter Phys 11:501–528. https://doi.org/10.1146/annurev-conmatphys-031119-050745

5. Basavegowda HS, Dagnew G (2020) Deep learning approach for microarray cancer data classification. CAAI Trans Intell Technol 5(1):22–33. https://doi.org/10.1049/trit.2019.0028

Cited by 1 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. Lung Cancer Prediction Using Ensemble Learning;2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI);2023-12-29

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