Integrating genome and functional genomics data to reveal perturbed signaling pathways in ovarian cancers.
作者： Songjian Lu , Xinghua Lu
DOI:
关键词: Gene 、 Ovarian cancer 、 Medicine 、 Computational biology 、 Bioinformatics 、 Text mining 、 Signal transduction 、 Functional genomics 、 Somatic cell 、 Genome 、 Cell signaling
摘要: Cancers are genetic diseases, driven by somatic mutations that perturb cellular signaling systems. In this study, we aim to reveal the signal transduction pathways perturbed in ovarian cancer. Our approach searches for lead a common response, e.g., differential expression of set functional related genes. To end, first developed knowledge mining identify modules; then graph-based data highly modules, as means re-constitute pathways. results indicate unification with significantly enhance identification potential cancers.
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