Microarray-Based Cancer Diagnosis with Artificial Neural Networks
In recent years, the advent of experimental methods to probe gene expression profiles of cancer on a genome-wide scale has led to widespread use of supervised machine learning algorithms to characterize these profiles. The main applications of these analysis methods range from assigning functional c...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2003-03-01
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| Series: | BioTechniques |
| Online Access: | https://www.future-science.com/doi/10.2144/mar03ringner |
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