This repository contains the code for the paper "DestinyNet: A Deep Learning-Based Single-Cell Lineage Tracing Framework for Fate Clustering, Flow, and Prediction". The website is available in https://destinynet.readthedocs.io/en/latest/index.html
We have developed a simple deep learning framework yet is able to encode single-cell RNA sequencing data, clonal information and descendant cell types of clones to decode the fate of any undetermined cell in three ways.
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Install the required environment
pip install -r requirements.txt
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Install the latest version of DestinyNet
pip install DestinyNet
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Modify the parameters in util.py, or use the default parameters
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Example usage
import DestinyNet args = DestinyNet.get_args() DestinyNet.train(args)
The args
object contains all the necessary parameters for training the DestinyNet model. You can modify these parameters as per your dataset requirements.
all data used is in the https://drive.google.com/file/d/1E494DhIx5RLy0qv_6eWa9426Bfmq28po/view?usp=drive_link