CountCorrect | CountCorrect : Background removal for Nanostring WTA data
kandi X-RAY | CountCorrect Summary
kandi X-RAY | CountCorrect Summary
CountCorrect is a Jupyter Notebook library. CountCorrect has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
A method for background removal from Nanostring WTA data.
A method for background removal from Nanostring WTA data.
Support
Quality
Security
License
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Support
CountCorrect has a low active ecosystem.
It has 2 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of CountCorrect is current.
Quality
CountCorrect has no bugs reported.
Security
CountCorrect has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
CountCorrect 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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CountCorrect releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of CountCorrect
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of CountCorrect
CountCorrect Key Features
No Key Features are available at this moment for CountCorrect.
CountCorrect Examples and Code Snippets
No Code Snippets are available at this moment for CountCorrect.
Community Discussions
No Community Discussions are available at this moment for CountCorrect.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install CountCorrect
You will first need to configure an appropriate conda environment and then you can install countcorrect directly from github. How to do this is explained below.
Finally you can install countcorrect:.
Finally you can install countcorrect:.
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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