Search Results for "statistical" - Page 3
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Showing 160 open source projects for "statistical"
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...The following features were implemented in OpenFLUX2, which were not present in original software: integrated support for calculation and analysis of parallel labeling experiments (PLE), extended statistical analysis of parameter estimation results, calculation of fluxes and measurements correlation, structural identifiability analysis and elements of experimental design.
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CMIS Input plugin for Pentaho
Allows querying Content Management Systems that use the CMIS.
Imagine being able to extract from your Enterprise Content Management System, all the metadata of your documents using simple queries with a query language very close to the traditional SQL. Imagine using the information extracted for statistical purposes, for creating reports and, more generally, to analyse your document archives in a way unthinkable until now with the current tools available. All this is possible within the Pentaho Suite, the Open Source Business Intelligence platform, which is useful to the extraction and analysis of structured and semi-structured data. ... -
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Luscinia is a program for archiving and analyzing field sound recordings (especially of animals). It incorporates an interface to a database, spectrogram measurement algorithms, sound comparison algorithms, and statistical analysis.
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SvnStat
Subversion (SVN) Statistics
SvnStat (Subversion Statistics) generates statistical reports with graphs and charts similar to StatCvs from Subversion (svn) logs. -
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Deem
Analyze time-course data with significance tests, clustering, modeling
Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. -
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IQuant
A pipeline for quantitative proteomics based upon isobaric tags
IQuant is an automated pipeline for quantitative proteomics based upon isobaric tags. It integrates post-processing tool of protein identification and advanced statistical algorithms to process the MS/MS signals generated from the peptides labeled by isobaric tags for quantification. IQuant can run from a graphical user interface (GUI) as well as a command-line interface and work with both Windows and Linux system. This website contains the IQuant software, an example data labeled by iTRAQ-8plex for testing and a user's manual. ... -
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SNVer is a statistical tool for calling common and rare variants in analysis of pool or individual next-generation sequencing data.
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QueLang
QueLang is a designing tool to use for Questionnaire Design.
...Tested on: -Linux Ubuntu 12.04 -Windows 7 64-bit QueLang can run by double clicking the .jar (or .exe) file. NOW INSTALLATION (or compilation) IS NEEDED! QueLang Survey Manager can concentrate Results of answered Questionnaires in a single database for mass statistical processing. Includes: -full documentation -GUI Interface -CLI Interface -Survey Manager TODO: - Write a decent parser (I have to study for that) - Add some more macros - Answer images (instead of text only) -You can always tell me what you want me implement, and I will include it (if possible) in the next update! -
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A text-based soccer match generation engine. Reproduces the match with statistics and report. To be used as a library by integrating with 'host' applications. Download 'desktop' version or try it at http://www.pubsoccermanager.com
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NetKit-SRL, or NetKit for short, is an open-source Network Learning Toolkit for statistical relational learning. The toolkit provides functionalities not found in any existing open source projects and integrates with the WEKA machine learning toolkit.
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SecStAnT
Secondary Structure Analysis Tool for data selection and statistics
...Select from PDB data sets of structures based on user specified secondary structures (defined based on internal PDB classification or on DSSP) and/or sequence motives. 2. Build Data-sets at different levels of resolution (all atoms, only backbone, only Cα, ...) 3. Evaluate statistical distributions of internal variables: a. single variable distributions (including the most relevant in the atomistic representation, e.g. PHI and PSI and a number of those for the Cα based representation) b. two variables correlations (including the PHI-PSI Ramachandran map and its equivalent in the Cα based representation) c. three variables correlations -
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LogSeCA
SIEM based tool supporting audit and security assessment
...It provides the following main capabilities: » secure and reliable retention of audit records for reliability and accountability, even in case of the source of event/log fails or the logs on it are accidentally or intentionally cancelled; » correlation of audit records in order to identify violation of security policies in the different data centres of the cloud infrastructure, which it would be impossible to do if each data centre processed events separately; » alerting and notification to the interested parties (e.g. security manager of the storage infrastructure); » control on the status of the corrective actions; » reporting at different levels (for basic audit inspection, statistical) and for different purposes (for final users, for internal purposes, for auditing). The design and development of this prototype have been partially founded by the VISION Cloud EU FP7 project -
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Niah (Statistical Disclosure Control)
Niah supports k-anonymity statistical disclosure control assessments
Niah is a simple java tool for use in statistical disclosure control risk assessments. It implements the k-anonymity model of disclosure risk for data in csv in format. This work was developed as part of a PhD project at the University of Glasgow and during an internship with the Scottish Government. -
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...Shoddy Battle was highly influential on the game of competitive Pokémon because it was free and open source, scalable (700,000 battles per month during its peak), user customisable and extensible, and it provided unprecedented statistical data on player skill and Pokémon usage trends. Visit the web site for more information.
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ViSEN
Visualization tool for statistical epistasis networks
The objective of this project is to provide a graphical visualization for statistical epistasis. Pairwise and three-way epistatic interactions are measured using information gain and are represented using networks. -
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LExAu: Learning Expectations Autonomously. Library for on-line data driven statistical machine learning.
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Auto Summarization tool using java
Auto summarization provides a concise summary for a document.
Auto summarization provides a concise summary for a document. In this I present a Statistical approach to addressing the text generation problem in domain-independent, single-document summarization. My thesis Includes salton’s vector space model which divides the sentences into categories which can also be used for summarizing the contents in WebPages. The summarizer initially breaks the entire document into sentences based on the separators. -
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Myrtle
A simple programmable spreadsheet for learning statistics.
Myrtle is a simple programmable spreadsheet and statistical analysis software specifically designed for learning statistics. It provides the standard spreadsheet functionality one would expect like multiple tabbed sheets, relative and absolute row and column referencing in formulas, and a large catalog of built-in functions. Functions specific to logic and computer science, mathematics, probability, and statistics are available. -
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...Open XDMoD has been developed to provide detailed information on resource utilization and performance for academic and industrial HPC centers. More information is available at http://xdmod.sourceforge.net/ UBMoD is a data warehouse and web portal for mining statistical data from resource managers in high-performance computing environments. UBMoD presents resource utilization over set time periods and provides detailed interactive charts, graphs, and tables.
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Compositional data analysis, following the approach introduced by John Aitchison, is not straightforward to use with standard statistical packages. CoDaPack provides a software capable of using the Aitchison methodology.
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Aliza Gaming API
An extensible development framework for roleplay games.
...It offers a comprehensive set of tools, utilities, and libraries, empowering developers to create immersive and dynamic gaming experiences with ease. Key Features: Modular Architecture, Rich Graphics and UI Components, Comprehensive Game Logic and Character Management, Environment and World-Building Tools, Statistical and Mathematical Utilities, Enhanced Debugging and Logging, Data Management and Integration, Integrated LLM for NPC Dialog, Cross-Platform Compatibility Dive into the world of game development with AlizaGameAPI. Download the latest version, explore the detailed documentation, and join the community of developers pushing the boundaries of gaming technology. -
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JProGraM (PRObabilistic GRAphical Models in Java) is a statistical machine learning library. It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, Nadaraya-Watson estimator); (3) generative models for random networks (small-world, scale-free, exponential random graphs, Fiedler random fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.
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jHepWork
jHepWork was a name of the DataMelt program in 2005-20013
jHepWork (2005-2013) was an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with the Jython (Python) scripting language. Currently the project is known under the name DataMelt (https://datamelt.org) -
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G-Asks is a question generation system, developed by LATTE(Learning and Affect Technologies Engineering) research group at The University of Sydney. It uses Natural Language Processing techniques and Machine learning algorithms to generate specific trigger questions. If you use this software in a publication, please cite the paper 2. 1.Ming Liu and Rafael A. Calvo (2012) “Using Information Extraction to Generate Trigger Question for Academic Writing Support”, 11th International Conference...
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AgED
AgED - Analysis given Experimental Data
...AgED relies on Elliptic Fourier Transcriptors to extract features from large quantities of image data. These features can then be visualized and you can evaluate them in a statistical manner. This type of analysis is particularly worthwile in the assessment of biological experiments. Elliptic Fourier Descriptors have been applied in a large range of applications in biology. Examples include the distinguishing of leaf shapes, fish sex, organ size and so forth. AgED is intended for scientific use only. ...
