The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A novel feature selection approach for biomedical data classification
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Citations
Cites
Gene selection for cancer classification using support vector machines
Guyon, I., Weston, J., Barnhill, S., & Vapnik, V. (2002) · Machine Learning · doi:10.1023/a:1012487302797 · Cited by 9,954
Cited by
A review of feature selection methods on synthetic data
Bolón-Canedo, V., Sánchez-Maroño, N., & Alonso-Betanzos, A. (2013) · Knowledge and Information Systems · doi:10.1007/s10115-012-0487-8 · Cited by 830
Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection
Ang, J. C., Mirzal, A., Haron, H., & Hamed, H. N. A. (2016) · IEEE/ACM Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2015.2478454 · Cited by 641
Metadata
- Authors
- Peng, Y., Wu, Z., & Jiang, J.
- Venue
- Journal of Biomedical Informatics
- Publisher
- Elsevier BV
- Published
- 2010-02
- Volume
- 43
- Issue
- 1
- Pages
- 15-23
- ISSN
- 1532-0464 (ISSN-L)
- OpenAlex
- W2015668472
- Cited by
- 257
- References
- 1
- FWCI
- 3.24
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: A novel feature selection approach for biomedical data classification. https://app.cochat.ai/papers/10.1016/j.jbi.2009.07.008
- The paper
- Peng, Y., Wu, Z., & Jiang, J. (2010). A novel feature selection approach for biomedical data classification. Journal of Biomedical Informatics. https://doi.org/10.1016/j.jbi.2009.07.008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
