Identifying Cancer Biomarkers From Microarray Data Using Feature Selection and Semisupervised Learning

@article{Chakraborty2014IdentifyingCB,
  title={Identifying Cancer Biomarkers From Microarray Data Using Feature Selection and Semisupervised Learning},
  author={Debasis Chakraborty and Ujjwal Maulik},
  journal={IEEE Journal of Translational Engineering in Health and Medicine},
  year={2014},
  volume={2},
  pages={1-11}
}
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 (miRNA) or gene-expression profiling experiment, the expression levels of thousands of genes/miRNAs are simultaneously monitored to study the effects of certain treatments, diseases, and… CONTINUE READING