Fig. 5.

Relationship between SNV features and λ for two HNSC patients. (a) Relationship between BQ and λ. For each patient, all missense SNVs were partitioned by BQ value such that every bin contained at least 50 calls; points represent the λ and average BQ of the bin. Solid lines represent sigmoidal fits. (b) Relationship between QUAL and λ. For each patient, all missense SNVs were partitioned by QUAL value such that every bin contained at least 50 calls; points represent the λ and average QUAL of the bin. Solid line represents fit to equation $y={Ae}^{-kx}+b$. For display purposes values of QUAL higher than 200 were not shown.