id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
10_1101-2021_02_09_430460	Banerjee, Shayantan	Sequence neighborhoods enable reliable prediction of pathogenic mutations in cancer genomes	2021	39	.pdf	application/pdf	15659	1731	40	experimentally validated cancer mutation data in this study, we explored various string-based evolutionary features resulted in the development of a pan-cancer mutation effect prediction Distinguishing between driver and passenger mutations from sequenced cancer genomes is a Recent studies have identified specific signatures or patterns of mutations in different cancer than passenger mutations and built probabilistic models to identify driver genes that had this study, missense mutations from 58 genes that were pan-cancer-based were combined from We used the same datasets to judge our model's ability to predict rare driver mutations based Driver and Passenger Mutations' Features Used to Train NBDriver are Significantly Although our method's focus was to identify missense driver mutations from sequenced cancer surrounding driver and passenger mutations obtained from sequenced cancer genomes. computational prediction of driver missense mutations," Cancer Res., vol. functionally validated cancer-related missense mutations," Genome Biology, vol. Figure 7: Differences in the distribution of features between driver and passenger mutations 	./cache/10_1101-2021_02_09_430460.pdf	./txt/10_1101-2021_02_09_430460.txt