Model-based Trajectory Inference for Single-Cell RNA Sequencing Using Deep Learning with a Mixture Prior
Project description
Model-based Trajectory Inference for Single-Cell RNA Sequencing Using Deep Learning with a Mixture Prior
This package provides computational tools to perform trajectory inference on scRNA-seq data with Variational Autoencoders. For more details, please refer to https://github.com/jaydu1/VITAE.
Project Members
Jin-Hong Du, Tianyu Chen, Ming Gao, and Jingshu Wang
License
This project is licensed under the terms of the MIT license.
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