Identifying Cancer Biomarkers From Microarray Data Using Feature Selection and Semisupervised Learning
Microarrays have now gone from obscurity to being almost ubiquitous in biological research. At the same time, the statistical methodology for microarray analysis has progressed from simple visual assessments of results to novel algorithms for analyzing changes in expression profiles. In a micro-RNA...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2014-01-01
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| Series: | IEEE Journal of Translational Engineering in Health and Medicine |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/6971078/ |