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Fig. 4 | BMC Bioinformatics

Fig. 4

From: Modeling and correct the GC bias of tumor and normal WGS data for SCNA based tumor subclonal population inferring

Fig. 4

Read count ratio’s GC bias correction of HCC1954 with different levels of normal contamination. Here ‘n5t95’, ‘n20t80’, ‘n40t60’, ‘n60t40’ and ‘n95t5’ respectively denote the tumor sample ‘HCC1954.mix1.n5t95’, ‘HCC1954.mix1.n20t80’, ‘HCC1954.mix1.n40t60’, ‘HCC1954.mix1.n60t40’, ‘HCC1954.mix1.n80t20’ and ‘HCC1954.mix1.n95t5’. Subfigures in the ‘Origin’ column show the GC bias of read count ratio before correction, and column ‘MCMC’ and ‘Regression’ show the GC bias of read count ratio after the correction by MCMC model of Pre-SCNAClonal and Regression model respectively. The red lines are the linear regression lines. All the subfigures are plotted by Pre-SCNAClonal

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BMC Bioinformatics

ISSN: 1471-2105

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