Pairtree is a method for reconstructing cancer evolutionary history in individual patients, and analyzing intratumor genetic heterogeneity. Pairtree focuses on scaling to many more cancer samples and cancer cell subpopulations than other algorithms, and on producing concise and informative interactive characterizations of posterior uncertainty.
Minimal changes necessary to fix divide by zero error that occurs when a mutations var_read_prob is equal to 0. Issue arises when fitting etas using both rprop and projection algorithms. See issue #14.
Minimal changes necessary to fix divide by zero error that occurs when a mutations var_read_prob is equal to 0. Issue arises when fitting etas using both rprop and projection algorithms. See issue #14.