ClearF: a supervised feature scoring method to find biomarkers using class-wise embedding and reconstruction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics (clinical),Genetics
Link
http://link.springer.com/content/pdf/10.1186/s12920-019-0512-9.pdf
Reference42 articles.
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4. Christin C, Hoefsloot HCJ, Smilde AK, Hoekman B, Suits F, Bischoff R, et al. A critical assessment of feature selection methods for biomarker discovery in clinical proteomics. Mol Cell Proteomics. 2013;12:263–76. https://doi.org/10.1074/mcp.M112.022566 .
5. Lee I-H, Lushington GH, Visvanathan M. A filter-based feature selection approach for identifying potential biomarkers for lung cancer. J Clin Bioinforma. 2011;1:11. https://doi.org/10.1186/2043-9113-1-11 .
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1. ClearF++: Improved Supervised Feature Scoring Using Feature Clustering in Class-Wise Embedding and Reconstruction;Bioengineering;2023-07-10
2. A feature selection-based framework to identify biomarkers for cancer diagnosis: A focus on lung adenocarcinoma;PLOS ONE;2022-09-06
3. A representation transfer learning approach for enhanced prediction of growth hormone binding proteins;Computational Biology and Chemistry;2020-08
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