id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
10_1101-2020_03_27_012757	Peng, Da	Evaluating the transcriptional fidelity of cancer models	2021	55	.pdf	application/pdf	18403	2037	62	measures the similarity of cancer models to 22 naturally occurring tumor types and 36 subtypes, 62 randomly shuffled gene-pair profiles generated from the training data of 22 tumor types to 144 CCLs. We mined RNA-seq expression data of 657 different cell lines across 20 cancer types 174 classification range for cell lines of each tumor type (Fig 2A, Supp Tab 1). CCN scores > threshold for tumor types other than that of the cell line's origin were annotated 198 Cell lines that did not receive a CCN score > threshold for any tumor type were 199 purity of general tumor type and mean CCN classification scores of CCLs in the corresponding 224 training data of general CCN classifier has little impact in the classification of SKCM cell lines. classified cell lines from each general tumor type (Fig 4D). subjected the RNA-seq expression profiles of 415 PDX models from 13 different types of cancer 357 	./cache/10_1101-2020_03_27_012757.pdf	./txt/10_1101-2020_03_27_012757.txt