Identification of breast cancer patients based on human signaling network motifs
Identifying breast cancer patients is crucial to the clinical diagnosis and therapy for this disease. Conventional gene-based methods for breast cancer diagnosis ignore gene-gene interactions and thus may lead to loss of power. In this study, we proposed a novel method to select classification featu...
| Main Authors: | , , , , , , , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Nature Publishing Group
2013
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3842546/ |