Pattanateepapon et al., 2016 - Google Patents
Feature selection based on correlations of gene-expression values for cancer predictionPattanateepapon et al., 2016
- Document ID
- 7314959439511105803
- Author
- Pattanateepapon A
- Suwansantisuk W
- Kumhom P
- Publication year
- Publication venue
- 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)
External Links
Snippet
Microarray-based cancer prediction can save lives, but is difficult to perform accurately due to noise, outliers, and inherent anomalies in gene-expression measurements. One important method to improve accuracy, sensitivity, and specificity of cancer prediction is feature …
- 230000014509 gene expression 0 title abstract description 27
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