Search Results for "management system in java" - Page 5
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Showing 139 open source projects for "management system in java"
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GODASM is the brief of ".Gff Organized Data Analysis System for Microarray Studies". Private programs, GODA system, had been successful developed in 2008 at CGMH,Taiwan. Now the project will transfer GODAs to open-source based system.
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Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming
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DbViz produces plots of data contained in MySQL databases. Data can be viewed by looking at line graphs, xy scatter plots, and bar graphs. This greatly simplifies data analysis.
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The EDAM ENCHILADA - The Exploratory Data Analysis and Management Project's Environmental Chemistry Data Processing and Mining Application.
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A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
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GmanDA is a GPL software for performing qualitative data analysis on mailing-lists and mboxes. It was developed to ease the work with large scale mailing-list archives taken from Gmane.org
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iLAP is a workflow-driven information management system specifically designed to store laboratory data within its experimental context. It combines experimental protocol development, wizard-based data acquisition, and high-throughput data analysis.
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Java OpenCL Process Virtual Machine. Spring IoC based framework for complex data analysis with OpenCL computing.
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PsiLAB is an environment for scientific research, numerical calculations and generic data analysis. It's written in the functional language O'CaML.
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Tata is a Qt project aiming at developing a data analysis program for scientific use. It contains wave form display and other data analysis functions, you can easily add your own code to fulfill your specific need. Welcome to join us!
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Students project for finding stock market trading system based on a simulation of market and historical data analysis.
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While resting-state fMRI is drawing more and more attention, there has not been a software for its data analysis. Based on MATLAB, we developed a package named REST. Currently REST has three main functions: function connectivity, ReHo and ALFF.
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xBCI platform is a platform for developing a BCI (Brain-computer interface) application including data analysis, online system, experiment control and feedback presentation. A BCI system is realized easily using GUI-based editor.
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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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QME-DEV Workbench (wxScipy) is a data analysis workbench based on Python, SciPy, Numpy and MatPlotLib(PyLab) and uses wxPython for the GUI. It can be used for non-linear analysis with a large set of experimental or generated data. Load/Acquire / Save/ Gr
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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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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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Microarray Data Analysis System, a Java application, provides an intuitive graphical scripting interface to design analysis protocols and perform normalization and filtering to microarray data by a variety of implemented statistical analysis modules.
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RStatServer is a system for quickly developing and deploying web applications that integrate statistical computations and graphics. It is built using the Zope web application develeopment system and the open-source statistical data analysis environment R
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ROOTSNNS is a set of C++ classes which allows one to use the Stuttgart Neural Network Simulator kernel (ansi-C) within the ROOT, a data analysis package. Multiple ANNs can be built, trained, and tested, while results and ANN performance can be saved.
