Additional file 1: Figure S1. of Identifying aggressive prostate cancer foci using a DNA methylation classifier

Christopher Duymich (3634861); Daniel Weisenberger (3634810); Gangning Liang (174746); Inderbir Gill (3634849); John Carpten (117061); Kamilla Mundbjerg (109512); Karina SĂ¸rensen (3634855); Kimberly Siegmund (272750); Manju Aron (3634822); Mehrdad Alemozaffar (3634858); Monish Aron (3634852); Osamu Ukimura (3634828); Parkash Gill (773340); Peter Jones (199862); Peter Nichols (3634864); Ranjani Lakshminarasimhan (3634825); Sameer Chopra (3634813); Torben Ărntoft (3634846); Vinay Duddalwar (3634819); âŹMariana Stern (3634816)

Additional file 1: Figure S1. of Identifying aggressive prostate cancer foci using a DNA methylation classifier

Abstract

Sample purity. Figure S2. Sample dissimilarity. Figure S3. Unsupervised clustering and heatmaps. Figure S4. Input probes for GLMnet analysis. Figure S5. Distribution of clinical information for the 312 TCGA tumor samples predicted by our classifier. Figure S6. Beeswarm plots. Figure S7. Clinical follow-up information for predicted TCGA tumor samples. Figure S8. Density graph of T-PL dist 2. Table S1. Patient information. LN lymph node. Table S2. PC foci aggressiveness by patient. Table S3. 25-probe aggressiveness classifier. (PDF 1585Â kb

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Last time updated on 12/02/2018