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: | , , , , , , , , , |
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Format: | Online |
Language: | English |
Published: |
Libertas Academica
2014
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149392/ |