Clustering reveals common check-point and growth factor receptor genes expressed in six different cancer types
Cancer diagnosis and prognosis has been significantly impacted by understandings of gene expression data analysis. Several groups have utilized supervised and unsupervised machine learning tools for classification and predictions on gene expression data sets. Clustering, principal component analysis...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Book Section |
| Published: |
Springer
2020
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| Subjects: | |
| Online Access: | http://eprints.sunway.edu.my/1436/ |