Showing 63 open source projects for "project-open"

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  • 1
    Java OpenCL Process Virtual Machine. Spring IoC based framework for complex data analysis with OpenCL computing.
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  • 2
    Students project for finding stock market trading system based on a simulation of market and historical data analysis.
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  • 3
    A mini data CUBE to do some embedded data analysis and mining.
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  • 4
    EDAS2 is a web-based environmental quality data management and decision support framework
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  • 5
    GSCope3 performs microarray data analysis to find correlations between BLSOM clusters and any form of omic knowledge expressed in OSML. Includes example metabolic pathway, gene ontology, genome position, transcription and PPI knowledge in OSML format.
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  • 6
    Open2Dprot is an open-source proteomics project for the development of bioinformatic tools for n-dimensional protein expression data analysis of quantified protein expression across multiple samples from research experiments.
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  • 7
    The Canopy project is an initiative to merge and expand the functionality of Perl-speaks-NONMEM (PsN), Census, Xpose and PopED. The goal is to produce a coherent, inclusive and convenient platform for pharmacometric data analysis.
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  • 8
    Comprehensive device automation and data analysis framework
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  • 9
    LMS Tools is a set of tools and libraries for administrators and users of learning management systems to perform, for example, portal integration, LMS management or usage data analysis.
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  • 10
    Free Tool for qualitative data analysis.
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  • 11
    JNeuron is an analysis tool for multi-neuronal spike train analysis. The tool will allow scientists to organize their spike train data analysis into projects. The tool will implement standard spike train analysis algorithms and also datamining algorithms
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  • 12
    A framework for image analysis and data analysis, aimed towards microscopy and the needs of current research.
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  • 13
    BIRBU (BIological Relationship BUilder) is a Java tool for microarray gene expression data analysis. BIRBU identifies biologically significant relationship between genes using microarray data and prior knowledge on relationships between genes.
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