Identification of Gene Signatures Used to Recognize Biological Characteristics of Gastric Cancer upon Gene Expression Data
High-throughput gene expression microarrays can be examined by machine-learning algorithms to identify gene signatures that recognize the biological characteristics of specific human diseases, including cancer, with high sensitivity and specificity. A previous study compared 20 gastric cancer (GC) s...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2014-01-01
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| Series: | Biomarker Insights |
| Online Access: | https://doi.org/10.4137/BMI.S13059 |
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