Fig. 4: Performance on 33 TCGA cancers.
From: Using sigLASSO to optimize cancer mutation signatures jointly with sampling likelihood
Active signatures (total contribution  >0.1%) in 33 cancer types using different methods. Only 27 cancer types have previously known signature distributions (others are shaded). Penalty coefficients of priors used for sigLASSO: 0.01. Weak priors: 0.5. Priors were taken from COSMIC, and provided with our "sigLASSO'' R package.
