SigProfilerAssignment | known mutational signatures to individual samples

 by   AlexandrovLab Python Version: 0.1.6 License: BSD-2-Clause

kandi X-RAY | SigProfilerAssignment Summary

kandi X-RAY | SigProfilerAssignment Summary

SigProfilerAssignment is a Python library. SigProfilerAssignment has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install SigProfilerAssignment' or download it from GitHub, PyPI.

SigProfilerAssignment is a new mutational attribution and decomposition tool that performs the following functions:. The tool identifies the activity of each signature in the sample and assigns the probability for each signature to cause a specific mutation type in the sample. The tool makes use of SigProfilerMatrixGenerator, SigProfilerExtractor and SigProfilerPlotting.
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              SigProfilerAssignment has a low active ecosystem.
              It has 21 star(s) with 4 fork(s). There are 4 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              There are 4 open issues and 19 have been closed. On average issues are closed in 8 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of SigProfilerAssignment is 0.1.6

            kandi-Quality Quality

              SigProfilerAssignment has no bugs reported.

            kandi-Security Security

              SigProfilerAssignment has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              SigProfilerAssignment is licensed under the BSD-2-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              SigProfilerAssignment releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

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            SigProfilerAssignment Key Features

            No Key Features are available at this moment for SigProfilerAssignment.

            SigProfilerAssignment Examples and Code Snippets

            No Code Snippets are available at this moment for SigProfilerAssignment.

            Community Discussions

            No Community Discussions are available at this moment for SigProfilerAssignment.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install SigProfilerAssignment

            You can install using 'pip install SigProfilerAssignment' or download it from GitHub, PyPI.
            You can use SigProfilerAssignment 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.

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            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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            Install
          • PyPI

            pip install SigProfilerAssignment

          • CLONE
          • HTTPS

            https://github.com/AlexandrovLab/SigProfilerAssignment.git

          • CLI

            gh repo clone AlexandrovLab/SigProfilerAssignment

          • sshUrl

            git@github.com:AlexandrovLab/SigProfilerAssignment.git

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