Deep Learning Approach for Cancer Detection Through Gene Selection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9040-5_24
Reference25 articles.
1. Gokhale M, Mohanty SK, Ojha A (2022) A stacked autoencoder-based gene selection and cancer classification framework. Biomed Signal Process Control 78:103999
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3. Liu Z, Wang R, Zhang W (2022) Improving the generalization of unsupervised feature learning by using data from different sources on gene expression data for cancer diagnosis. Med Biol Eng Comput 60(4):1055–1073
4. Alshareef AM, Alsini R, Alsieni M, Alrowais F, Marzouk R, Abunadi I, Nemri N (2022) Optimal deep learning enabled prostate cancer detection using microarray gene expression. J Healthc Eng 2022
5. Jha P, Tiwari A, Bharill N, Ratnaparkhe M, Patel OP, Anand V, Singh T (2022) HPC enabled a novel deep fuzzy scalable clustering algorithm and its application for protein data. In: 2022 IEEE conference on computational intelligence in bioinformatics and computational biology (CIBCB). IEEE, pp 1–8
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