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TEmPTS: Transition Estimation for Proportional Time Sequence

This repo is a work in progress and contains all the scripts used for the Servius et al. manuscript "State transition estimation in proportional data sequence with applications in immunology".

The calcualtion of the point estimates for the application examples are in each respective folder as well as the boostrap implementation. An example script for the parallelised bootstrap, will be added in due coarse and can be requested before then.

foldername description
appli_CSR application scripts for "Antibody Isotype Dynamics in COVID-19 Vaccination".
appli_cellType application scripts for "Evolution of B Cell Maturation in COVID-19 Vaccination".
appli_simData application for the simulated closed system and the system with ingress.

Note:

(1) Each folder is self-contained with it's own function file mm_temptations_functions.py, these are all the same and were originally symlinks to a single file.

(2) ...

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Functions and examples for estimating transition probabilities on proportional data

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