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A Classification-Based Machine Learning Approach for the Analysis of Genome-Wide Expression Data
Three important areas of data analysis for global gene expression analysis are class discovery, class prediction, and finding dysregulated genes (biomarkers). The clinical application of microarray data will require marker genes whose expression patterns are sufficiently well understood to allow acc...
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| Main Authors: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Cold Spring Harbor Laboratory Press
2003
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC430281/ https://ncbi.nlm.nih.gov/pubmed/12618382 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.104003 |
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