cmapM | Connectivity Map analysis in MATLAB | Data Visualization library
kandi X-RAY | cmapM Summary
kandi X-RAY | cmapM Summary
cmapM is a C library typically used in Analytics, Data Visualization applications. cmapM has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
cmapM is a library of of MATLAB routines to process, analyze and visualize Connectivity Map (CMap) data. To learn more about the CMap project at the Broad Institute, please visit clue.io. All code is made available under the free 3-clause BSD license.
cmapM is a library of of MATLAB routines to process, analyze and visualize Connectivity Map (CMap) data. To learn more about the CMap project at the Broad Institute, please visit clue.io. All code is made available under the free 3-clause BSD license.
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Security
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Support
cmapM has a low active ecosystem.
It has 29 star(s) with 14 fork(s). There are 19 watchers for this library.
It had no major release in the last 12 months.
There are 4 open issues and 5 have been closed. On average issues are closed in 94 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of cmapM is v2.0.1
Quality
cmapM has no bugs reported.
Security
cmapM has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
cmapM is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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cmapM releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
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cmapM Key Features
No Key Features are available at this moment for cmapM.
cmapM Examples and Code Snippets
No Code Snippets are available at this moment for cmapM.
Community Discussions
Trending Discussions on cmapM
QUESTION
Fit the figure size after removing an axe - Matplotlib
Asked 2020-Nov-20 at 16:00
I got a figure with 3 axes : I did this :
...ANSWER
Answered 2020-Nov-20 at 16:00I think this is the wrong question.
I believe you should pass colorbar=False
to one of your df.plot.scatter()
call to prevent the creation of one of the colorbar
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cmapM
Clone the cmapM code repository
Configure the MATLAB environment and download test datasets
Configure the MATLAB environment and download test datasets
Support
Working with CMap data formatsL1000 data-processing pipelineRunning Connectivity Algorithms with SigTools
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