Showing 5 open source projects for "mac start"

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  • 1

    MAGeCK

    Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout

    MAGeCK2 is here: https://github.com/davidliwei/mageck2 Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens technology. For instructions and documentations, please refer to the wiki page. MAGeCK is developed by Wei Li and Han Xu from Dr. Xiaole Shirley Liu's lab at Dana-Farber Cancer Institute/Harvard School of Public Health, and is maintained by Wei Li lab at...
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    Downloads: 78 This Week
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  • 2
    StatisticsTables

    StatisticsTables

    This is a Java APP for Probability and Statistics Tables

    ...Click the link you want to download to get the Statistics Tables Windows.exe or OS X zipped files. After saving Windows file, just click the jdistabs_win.exe file to install. If you use OS X for MAC, download to the Download directory in the Finder. Then copy to the Desktop folder. Click on the jdistabs_osx.zip to unzip. In the jdistabs_osx folder that is created, create an alias file from the jdistabs_osx.jar file and drag it to the Desktop. Click the Desktop file to start the program.
    Downloads: 1 This Week
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  • 3
    Statistics modules in Perl Data Language, with a quick-start guide for non-PDL people. They make the PDL shell work like R, but with PDL threading (fast automatic iteration) of procedures including t-test, linear regression, and k-means clustering.
    Downloads: 0 This Week
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  • 4
    Nen

    Nen

    neural network implementation in java

    3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Quick Start: "java -jar nen.jar"
    Downloads: 0 This Week
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  • 5

    Statastizard

    Statistics Wizard

    Statastizard(c)2012 Nick Emblow is a program designed to guide its user into the right statistical test, perform the test, and report the results in a meaningful way. The idea of this is that the user won't actually need to know that they are using a mann-whitney U over a t-test, for example - it just tests for normality and homoscedastic of variance, and decides which test to use, then reports the results. Why? Because time after time, people come to me with some test that they've...
    Downloads: 0 This Week
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