tomatine / sreft-ml

Statistical Restoration of Fragmented Time course - Machine Learning (SReFT-ML) for Python

SReFT-ML

This repository is a Python library for Statistical Restoration of Fragmented Time course - Machine Learning (SReFT-ML). SReFT-ML is a neural network-based method for constructing long-term disease progression models from short-term observational data. It updates the SReFT algorithm to a machine learning-based approach. For detailed information about the concept of SReFT, please refer to the original paper.

Install and Import

Installation should be done via github according to the following.

$ pip install git+https://github.com/RyotaJin/sreft-ml.git

The library import are as follows

# Import the entire package together.
import sreftml

# Import each script separately.
from sreftml import plots, sreftml_model, utilities

Document

See our GitHub page