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Learn MoreTo generate this dataset in RNA-seq, we performed a mixing experiment, in which we mixed mRNAs from three cell lines: lung adenocarcinoma in humans (H1092), cancer-associated fibroblasts (CAFs) and tumor infiltrating lymphocytes (TIL), at different proportions to generate 32 samples, including 9 samples that correspond to three repeats of a pure cell line sample for three cell lines. The RNA amount of each tissue in the mixture samples was calculated on the basis of real RNA concentrations tested in the biologists lab. This dataset was generated in house and then used to generate the count table that counts the number of reads mapped to each exon for all the samples. This count data will be pre-processed by total count normalization and genes that contained zero counts are removed. SOURCE: Wenyi Wang (wwang7@mdanderson.org) - The University of Texas MD Anderson Cancer Center
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