Abstract
Progressive disorders are highly heterogeneous. Symptom-based clinical classification of these disorders may not reflect the underlying pathobiology. Data-driven subtyping and staging of patients has the potential to disentangle the complex spatiotemporal patterns of disease progression. Tools that enable this are in high demand from clinical and treatment-development communities. Here we describe the pySuStaIn software package, a Python-based implementation of the Subtype and Stage Inference (SuStaIn) algorithm. SuStaIn unravels the complexity of heterogeneous diseases by inferring multiple disease progression patterns (subtypes) and individual severity (stages) from cross-sectional data. The primary aims of pySuStaIn are to enable widespread application and translation of SuStaIn via an accessible Python package that supports simple extension and generalization to novel modelling situations within a single, consistent architecture.
Code metadata Current code version v1.0
Permanent link to code/repository used of this code version https://github.com/ucl-pond/pySuStaIn
Legal Code License MIT
Code versioning system used git
Software code languages, tools, and services used Python
Compilation requirements, operating environments & dependencies Linux, Mac, Windows
Support email for questions leon.aksman{at}loni.usc.edu, p.wijeratne{at}ucl.ac.uk, alexandra.young{at}kcl.ac.uk
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
↵* Joint first authors