id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-011836-zib8wkm2	Urman, Jesús M.	Pilot Multi-Omic Analysis of Human Bile from Benign and Malignant Biliary Strictures: A Machine-Learning Approach	2020-06-21		.txt	text/plain	13598	626	44	We performed metabolomic and proteomic analyses of bile from patients with benign (n = 36) and malignant conditions, CCA (n = 36) or PDAC (n = 57), undergoing endoscopic retrograde cholangiopancreatography with the aim of characterizing bile composition in biliopancreatic disease and identifying biomarkers for the differential diagnosis of biliary strictures. Alterations in BA In the present study we have performed parallel metabolomic and proteomic analyses of human bile from patients with benign and malignant (CCA and PDAC) biliary stenoses. Therefore, using a novel approach, we have combined metabolomic and proteomic measurements with machine intelligence modeling and synthetic data generation [51, 53, 54] to identify molecular patterns that can discriminate malignant from benign biliary strictures. An equivalent analysis was performed with the proteomic data obtained from a different set of bile samples from control and patients with PDAC-related malignant stenoses. An equivalent analysis was performed with the proteomic data obtained from a different set of bile samples from control and patients with PDAC-related malignant stenoses.	./cache/cord-011836-zib8wkm2.txt	./txt/cord-011836-zib8wkm2.txt