MapperPlus: Agnostic clustering of high-dimension data for precision medicine
Esha Datta,
Aditya Ballal,
Javier E. López
et al.
Abstract:One of the goals of precision medicine is to classify patients into subgroups that differ in their susceptibility and response to a disease, thereby enabling tailored treatments for each subgroup. Therefore, there is a great need to identify distinctive clusters of patients from patient data. There are three key challenges to three key challenges of patient stratification: 1) the unknown number of clusters, 2) the need for assessing cluster validity, and 3) the clinical interpretability. We developed MapperPlu… Show more
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