Learning a single-hidden layer feedforward neural network using a rank correlation-based strategy with application to high dimensional gene expression and proteomic spectra datasets in cancer detection.
Methods based on microarrays (MA), mass spectrometry (MS), and machine learning (ML) algorithms have evolved rapidly in recent years, allowing for early detection of several types of cancer. A pitfall of these approaches, however, is the overfitting of data due to large number of attributes and smal...
| Publicado en: | Journal of Biomedical Informatics Vol. 83; pp. 159 - 167 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Academic Press Inc.
Jul2018
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| Acceso en línea: | Ver este registro en EBSCOhost |