Biomarker Selection and Classification of “-Omics” Data Using a Two-Step Bayes Classification Framework
Identification of suitable biomarkers for accurate prediction of phenotypic outcomes is a goal for personalized medicine. However, current machine learning approaches are either too complex or perform poorly. Here, a novel two-step machine-learning framework is presented to address this need. First,...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2013-01-01
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| Series: | BioMed Research International |
| Online Access: | http://dx.doi.org/10.1155/2013/148014 |