SC-AE: An Improved Spectral Clustering Unsupervised Feature Selection Algorithm Guided by Autoencoders Based on Pan-cancer Multi-view Omics Data

Author:

Si Chengkun1ORCID,Zhao Long1ORCID,Liu Jiao1ORCID,Chen Zhaohui1ORCID

Affiliation:

1. Qilu University of Technology (Shandong Academy of Sciences), China

Publisher

ACM

Reference12 articles.

1. Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis

2. Classifying Breast Cancer Subtypes Using Deep Neural Networks Based on Multi-Omics Data

3. Si C, Zhao L, Liu J. Deep Feature Selection Algorithm for Classification of Gastric Cancer Subtypes[C]//2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2023: 698-705.

4. Benchmarking omics-based prediction of asthma development in children

5. A review of unsupervised feature selection methods

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