Feature selection and classification of MAQC-II breast cancer and multiple myeloma microarray gene expression data.
Microarray data has a high dimension of variables but available datasets usually have only a small number of samples, thereby making the study of such datasets interesting and challenging. In the task of analyzing microarray data for the purpose of, e.g., predicting gene-disease association, feature...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2009-12-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC2789385?pdf=render |