Search Results for "java windows 7" - Page 3
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Showing 60 open source projects for "java windows 7"
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The final build of this software now is distributed in R, embedded in "RedeR': an R/Bioconductor package for hierarchical and nested network analysis... more about RedeR: http://bioconductor.org/packages/2.9/bioc/html/RedeR.html
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FastPval is multiple stage p-value computing software that computes empirical p-values from a large set of permutated/resampled background data.
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This project adds a ribbon to excel with a number of statistical buttons. This is not intended to be a full statistical analysis package (like R), but only a source for quick visualizations and calculations. For Excel2007 and up
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Optimization tool that mimics the darwinian reproduction, selection, mutation process. It has 2 components: the optimization algorithm and an interpretar to define function to optimize and constraints. It is all written in java (netbeans).
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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A Matlab toolbox for interfacing with the pure JAVA numerical library Snifflib. This toolbox provides convenience m-files for interoperability with Snifflib from within an active Matlab session running a JAVA virtual machine.
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Software made available by the Residual Analysis blog, primarily having to do with anthropogenic global warming, e.g. GHCN Processor.
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Opensource software projects for genetics and genomics from Sage Bionetworks.
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The Java class library, that contains classes for calculation of different mathematical relations between object and number sequences and sets: Kendall distance, Spearman distance, similarity measure, L1 distance and others.
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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...
