oncofuse | Predicting oncogenic potential of gene fusions
kandi X-RAY | oncofuse Summary
kandi X-RAY | oncofuse Summary
oncofuse is a Groovy library. oncofuse has no bugs, it has no vulnerabilities and it has low support. However oncofuse has a Non-SPDX License. You can download it from GitHub.
If you need to copy oncofuse to other folder make sure libs and common folders are placed in the same directory, or just use symlink.
If you need to copy oncofuse to other folder make sure libs and common folders are placed in the same directory, or just use symlink.
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oncofuse has a low active ecosystem.
It has 11 star(s) with 3 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 7 open issues and 9 have been closed. On average issues are closed in 43 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of oncofuse is 1.1.1
Quality
oncofuse has no bugs reported.
Security
oncofuse has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
oncofuse has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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oncofuse releases are available to install and integrate.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of oncofuse
oncofuse Key Features
No Key Features are available at this moment for oncofuse.
oncofuse Examples and Code Snippets
No Code Snippets are available at this moment for oncofuse.
Community Discussions
No Community Discussions are available at this moment for oncofuse.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install oncofuse
You can download it from GitHub.
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Oncofuse is a framework designed to estimate the oncogenic potential of de-novo discovered gene fusions. It uses several hallmark features and employs a bayesian classifier to provide the probability of a given gene fusion being a driver mutation. Oncofuse is described in the following paper: Mikhail Shugay, Inigo Ortiz de Mendibil, Jose L. Vizmanos and Francisco J. Novo. Oncofuse: a computational framework for the prediction of the oncogenic potential of gene fusions. Bioinformatics. 16 Aug 2013. doi:10.1093/bioinformatics/btt445. See http://www.unav.es/genetica/oncofuse.html for additional details.
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