Trajectory by KNN
Project description
TrajectoryKNN: Single-Cell Trajectory Analysis with k-Nearest Neighbors Algorithm
TrajectoryKNN is a software designed for single-cell trajectory analysis using the k-Nearest Neighbors (KNN) algorithm. It enables researchers to analyze the developmental trajectories of single cells and uncover the underlying dynamics of cellular processes.
Getting Started
Prerequisites
Before you begin, ensure you have met the following requirements:
- Python 3.8 or higher
- A compatible operating system (e.g., Windows, macOS, Linux)
Installation
To install the software, follow these steps:
pip install TrajectoryKNN
License
This project is licensed under the MIT License.
Contact
For any questions or feedback, please reach out to us at 605547565@qq.com.
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
trajectoryknn-1.0.0.tar.gz
(7.0 kB
view details)
File details
Details for the file trajectoryknn-1.0.0.tar.gz.
File metadata
- Download URL: trajectoryknn-1.0.0.tar.gz
- Upload date:
- Size: 7.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4dbf69c0025debe0c58099b2078670f222217537ce472f3c20e1c159d33d8d98
|
|
| MD5 |
caa95236e1be04908fd6d33306d16366
|
|
| BLAKE2b-256 |
82c13929033bf89bf30e4e5315fd4e67d65530ef693a0a9050b212dfd29d693f
|
