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, Ming Gao, and Jingshu Wang
License
This project is licensed under the terms of the MIT license.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyvitae-1.1.4.tar.gz
(31.2 kB
view details)
Built Distribution
pyvitae-1.1.4-py3-none-any.whl
(35.2 kB
view details)
File details
Details for the file pyvitae-1.1.4.tar.gz.
File metadata
- Download URL: pyvitae-1.1.4.tar.gz
- Upload date:
- Size: 31.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.6.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4dd635800a8dece51fab3ad53d09cf716e05beca464582fdd3b0769e3ab70a5d |
|
| MD5 | 04bdd53b312096ff20f20d05938bda1a |
|
| BLAKE2b-256 | 617d1c78f1a521f24cf72efbd94c541a91dc503d6a5acf9440a54ffe7f5c2420 |
File details
Details for the file pyvitae-1.1.4-py3-none-any.whl.
File metadata
- Download URL: pyvitae-1.1.4-py3-none-any.whl
- Upload date:
- Size: 35.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.6.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d78cccffc216471cc619a085f20cae752a5b0192bab03ba07db839996bdac76b |
|
| MD5 | 45ff1ea2af8bc963d534af9b523179b9 |
|
| BLAKE2b-256 | e050a3a4132ce17a639a50cc892d563fb29383c74dc2055c0f08644ce63c9a6a |
