knn-smoothing | nearest neighbor smoothing for high-throughput
kandi X-RAY | knn-smoothing Summary
kandi X-RAY | knn-smoothing Summary
knn-smoothing is a Python library. knn-smoothing has no bugs, it has no vulnerabilities and it has low support. However knn-smoothing build file is not available. You can download it from GitHub.
Of the three implementations provided here, the Python implementation is the most thoroughly tested and the fastest. However, all implementations run reasonably fast - typically on the order of seconds or minutes for datasets containing < 5,000 cells. For larger datasets, we recommend using the Python implementation. The Python implementation also provides a command-line interface (see below), which makes it easy to use for non-Python users. We strive to ensure the correctness of all implementations and to make them all as consistent as possible. However, due to differences in terms of how the randomized PCA is implemented in each language, there are currently small differences in the exact results produced by each implementation. We appreciate any reports of inconsistencies or suggestions for improvements.
Of the three implementations provided here, the Python implementation is the most thoroughly tested and the fastest. However, all implementations run reasonably fast - typically on the order of seconds or minutes for datasets containing < 5,000 cells. For larger datasets, we recommend using the Python implementation. The Python implementation also provides a command-line interface (see below), which makes it easy to use for non-Python users. We strive to ensure the correctness of all implementations and to make them all as consistent as possible. However, due to differences in terms of how the randomized PCA is implemented in each language, there are currently small differences in the exact results produced by each implementation. We appreciate any reports of inconsistencies or suggestions for improvements.
Support
Quality
Security
License
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Support
knn-smoothing has a low active ecosystem.
It has 34 star(s) with 9 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 3 have been closed. On average issues are closed in 1 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of knn-smoothing is current.
Quality
knn-smoothing has 0 bugs and 0 code smells.
Security
knn-smoothing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
knn-smoothing code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
knn-smoothing does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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knn-smoothing releases are not available. You will need to build from source code and install.
knn-smoothing has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
knn-smoothing saves you 48 person hours of effort in developing the same functionality from scratch.
It has 127 lines of code, 6 functions and 1 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed knn-smoothing and discovered the below as its top functions. This is intended to give you an instant insight into knn-smoothing implemented functionality, and help decide if they suit your requirements.
- Perform k - means smoothing
- Calculates the PCA score for a given matrix
- Normalize the median of each transcript
- Performs the freemkey transformation
- Calculate pairwise distances between the pairwise distances
Get all kandi verified functions for this library.
knn-smoothing Key Features
No Key Features are available at this moment for knn-smoothing.
knn-smoothing Examples and Code Snippets
No Code Snippets are available at this moment for knn-smoothing.
Community Discussions
No Community Discussions are available at this moment for knn-smoothing.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install knn-smoothing
You can download it from GitHub.
You can use knn-smoothing like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use knn-smoothing like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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