Fig. 4From: Machine learning techniques on homological persistence features for prostate cancer diagnosisThe flowchart for PHML modeling. For different data types, certain simplicial complexes are considered. With a suitable filtration parameter, PH analysis can be implemented by a designed software (PHAT). The result from the PH is transformed into feature vectors, which is further combined with supervised methods from machine learningBack to article page