Key genes

Identification of key biomarkers involved in osteosarcoma using altered modules

Z. Z. Liu, Cui, S. T., Tang, B., Wang, Z. Z., Luan, Z. X., Liu, Z. Z., Cui, S. T., Tang, B., Wang, Z. Z., and Luan, Z. X., Identification of key biomarkers involved in osteosarcoma using altered modules, vol. 15, p. -, 2016.

The aim of this study was to screen for key biomarkers of osteosarcoma (OS) by tracking altered modules. Protein-protein interaction (PPI) networks of OS and normal groups were constructed and re-weighted using the Pearson correlation coefficient (PCC), respectively. The condition-specific modules were explored from OS and normal PPI networks using a clique-merging algorithm. Altered modules were identified by a maximum weight bipartite-matching method. The important biological pathways in OS were identified by a pathway-enrichment analysis using genes from disrupted modules.

Subscribe to Key genes