zinbwave | Bioconductor repository for the zinbwave package
kandi X-RAY | zinbwave Summary
kandi X-RAY | zinbwave Summary
zinbwave is a R library. zinbwave has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
Zero-inflated Negative Binomial based Wanted Variation Extraction (ZINB-WaVE). This package implements a zero-inflated negative binomial model for single-cell RNA-seq data, with latent factors.
Zero-inflated Negative Binomial based Wanted Variation Extraction (ZINB-WaVE). This package implements a zero-inflated negative binomial model for single-cell RNA-seq data, with latent factors.
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Support
zinbwave has a low active ecosystem.
It has 39 star(s) with 12 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
There are 7 open issues and 54 have been closed. On average issues are closed in 175 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of zinbwave is current.
Quality
zinbwave has 0 bugs and 0 code smells.
Security
zinbwave has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
zinbwave code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
zinbwave 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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zinbwave 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 zinbwave
zinbwave Key Features
No Key Features are available at this moment for zinbwave.
zinbwave Examples and Code Snippets
No Code Snippets are available at this moment for zinbwave.
Community Discussions
No Community Discussions are available at this moment for zinbwave.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install zinbwave
Since Bioconductor 3.7 the new recommended way to install Bioconductor packages is via the BiocManager package, available on CRAN:. Note that zinbwave requires R (>=3.4) and Bioconductor (>=3.6). In virtually all cases, installing from Bioconductor is recommended. However, if you want to install the development version of zinbwave from GitHub, you can do so with the following.
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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