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Original Article
- Predicting 5-Year Survival Status of Patients with Breast Cancer based on Supervised Wavelet Method
- Maryam Farhadian, Hossein Mahjub, Jalal Poorolajal, Abbas Moghimbeigi, Muharram Mansoorizadeh
- Osong Public Health Res Perspect. 2014;5(6):324-332. Published online December 31, 2014
- DOI: https://doi.org/10.1016/j.phrp.2014.09.002
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Abstract
PDF - Objectives
Classification of breast cancer patients into different risk classes is very important in clinical applications. It is estimated that the advent of high-dimensional gene expression data could improve patient classification. In this study, a new method for transforming the high-dimensional gene expression data in a low-dimensional space based on wavelet transform (WT) is presented.
Methods
The proposed method was applied to three publicly available microarray data sets. After dimensionality reduction using supervised wavelet, a predictive support vector machine (SVM) model was built upon the reduced dimensional space. In addition, the proposed method was compared with the supervised principal component analysis (PCA).
Results
The performance of supervised wavelet and supervised PCA based on selected genes were better than the signature genes identified in the other studies. Furthermore, the supervised wavelet method generally performed better than the supervised PCA for predicting the 5-year survival status of patients with breast cancer based on microarray data. In addition, the proposed method had a relatively acceptable performance compared with the other studies.
Conclusion
The results suggest the possibility of developing a new tool using wavelets for the dimension reduction of microarray data sets in the classification framework. -
Citations
Citations to this article as recorded by
- Diagnosing thyroid disorders: Comparison of logistic regression and neural network models
Shiva Borzouei, Hossein Mahjub, NegarAsaad Sajadi, Maryam Farhadian
Journal of Family Medicine and Primary Care.2020; 9(3): 1470. CrossRef - Thyroid disorder diagnosis based on Mamdani fuzzy inference system classifier
Negar Asaad Sajadi, Hossein Mahjub, Shiva Borzouei, Maryam Farhadian
Koomesh Journal.2020; 22(1): 107. CrossRef - Diagnosis of hypothyroidism using a fuzzy rule-based expert system
Negar Asaad Sajadi, Shiva Borzouei, Hossein Mahjub, Maryam Farhadian
Clinical Epidemiology and Global Health.2019; 7(4): 519. CrossRef - WaveICA: A novel algorithm to remove batch effects for large-scale untargeted metabolomics data based on wavelet analysis
Kui Deng, Fan Zhang, Qilong Tan, Yue Huang, Wei Song, Zhiwei Rong, Zheng-Jiang Zhu, Kang Li, Zhenzi Li
Analytica Chimica Acta.2019; 1061: 60. CrossRef
- Diagnosing thyroid disorders: Comparison of logistic regression and neural network models
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