Prediction of IGHV status based on Factor 1 in the CLL data and validation on outlier cases on independent assays Prediction of IGHV status based on Factor.

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Prediction of IGHV status based on Factor 1 in the CLL data and validation on outlier cases on independent assays Prediction of IGHV status based on Factor 1 in the CLL data and validation on outlier cases on independent assays Beeswarm plot of Factor 1 with colours denoting agreement between predicted and clinical labels as in (B).Pie chart showing total numbers for agreement of imputed labels with clinical label.Sample‐to‐sample correlation matrix based on drug response data.Sample‐to‐sample correlation matrix based on methylation data.Drug response to ONO‐4509 (not included in the training data): Boxplots for the viability values in response to ONO‐4509. The three outlier samples are shown in the middle; on the left and right, the viabilities of the other M‐CLL and U‐CLL samples are shown, respectively. The panels show different drug concentrations tested. Boxes represent the first and third quartiles of the values for M‐CLL and U‐CLL samples, for individual patients the single value.Whole exome sequencing data on IGHV genes (not included in the training data): the number of mutations found on IGHV genes using whole exome sequencing is shown on the y‐axis, separately for U‐CLL and M‐CLL samples. The three outlier samples are labelled. Ricard Argelaguet et al. Mol Syst Biol 2018;14:e8124 © as stated in the article, figure or figure legend