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Parameter estimates of the metastatic and survival models obtained by likelihood maximization via the SAEM algorithm.

Journal: PLOS Computational Biology

Article Title: Machine-learning and mechanistic modeling of metastatic breast cancer after neoadjuvant treatment

doi: 10.1371/journal.pcbi.1012088

Figure Lengend Snippet: Parameter estimates of the metastatic and survival models obtained by likelihood maximization via the SAEM algorithm.

Article Snippet: Maximum likelihood estimates of the population parameters were obtained using the Stochastic Approximation of Expectation-Maximization (SAEM) algorithm implemented in the nlmefitsa Matlab function [ ].

Techniques: In Vitro