Identification of breast cancer patients based on human signaling network motifs.
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ABSTRACT:
SUBMITTER: Chen L
PROVIDER: S-EPMC3842546 | biostudies-literature | 2013 Nov
REPOSITORIES: biostudies-literature
Publications
Identification of breast cancer patients based on human signaling network motifs.
Chen Lina L Qu Xiaoli X Cao Mushui M Zhou Yanyan Y Li Wan W Liang Binhua B Li Weiguo W He Weiming W Feng Chenchen C Jia Xu X He Yuehan Y
Scientific reports 20131128
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 features, called "Selection of Significant Expression-Correlation Differential Motifs" (SSECDM). This method applied a network motif-based approach, combining a human signaling network and high-throughput ...[more]
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