id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_e6jamuapavb4jnm3pcyykhj3ba	Jianing Xi	DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways	2017	25	.pdf	application/pdf	13802	1878	67	(2017), DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization tumor samples, previous studies have reported that some driver genes are mutated at low interactome information (DGPathinter), to discover potential driver genes from mutation genes in the matrix G from information of somatic mutation data, pathways and interaction network, we can identify the potential driver genes by ranking their mutation Figure 2 Precision–recall curves of the prioritization results of the investigated methods for cancer specific known driver genes curated by DGPathinter to identify driver genes from mutation data with prior knowledge from Detection of driver pathways using mutated gene network in DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways ... DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways ...	./cache/work_e6jamuapavb4jnm3pcyykhj3ba.pdf	./txt/work_e6jamuapavb4jnm3pcyykhj3ba.txt