Visualization application for various TASEP, ASEP and SSEP models.
Visualization of TASEP, ASEP, SSEP models with various update rules based on Zarja simulation library using QT GUI library.
##### RKWard has moved! ##### Find the most recent news and downloads at http://rkward.kde.org . RKWard aims to provide an easily extensible, easy to use IDE/GUI for R. RKWard tries to combine the power of the R-language with the (relative) ease of use of commercial statistics tools.
RVASSOC is a simple program for performing various tests for association between genotypes and disease status using sequence variants from unrelated cases and controls. It was designed to accommodate both rare variants and missing genotypes.
Calculates the transportation cost seasonality indexes
Calculates the transportation cost seasonality indexes on the basis of the measurement approach by G. L. Lo Magno, M. Ferrante and S. De Cantis.
SWP is for Weighted Points
SWP is a script language to manipulate sets of isolated weighted point, mainly analysis of fractal and other statistical properties of such sets. Originally started as a tool to explore fractal properties of cosmic fractal like large-scale distribution of galaxies. Could be used for any similar sets either.
Opensource software projects for genetics and genomics from Sage Bionetworks.
A slick interface to see various scale analysis algorithms in action.
The Shape Visualizer is intented to be an exploratory/educational tool making it quick and easy to see how various mathematical methods perform in analysing and selecting the various patterns present on an image. The main website is built as a wiki gathering info and examples on the various implemented algorithms. The combination of the application and its wiki intend to constitute a nice little pedagogic toolkit for multiscale analysis. Feel free to contribute code or wiki content !
The project simulates a generic agent based market model. The aim is to explore intimately, by simulation, the process of price formation and the market microstructure.
Capacity exhaustion prediction from RRD files
Predict if storage utilised will reach capacity within defined period (maximum 5 years), using recent historical data contained within RRD files (maximum -1 year). Produces HTML (or partial HTML) and, more importanly, a PNG RRD Graph showing the prediction and, should the capacity be reached, an annotation indicating when. Optionally email out exception notices.
Software for speech research. It includes programs and libraries for signal processing, along with general purpose scientific libraries. Most of the code is in Python, with C/C++ supporting code. Also, contains code releases corresponding to publishe
Fast and Efficient Statistics Calculator
A simple program that calculates the mean, mode, range, quartiles and standard deviation of a set of input numbers.
StereoWorks is an easy to use yet powerful tool to create 3D reconstruction surfaces from stereoscopic SEM images. It allows the user to make detailed elevation maps from a pair of SEM images and obtain data such as height, area and roughness.
Learning Stochastic Discrete Event Systems
Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes.
That project aims at studying and comparing typical airline IT methods, for instance RM-related algorithms. It works from a Unix/Linux/Mac command-line, and exposes basic APIs. It is being developed in C++, with Python wrappers for some components.
Uranie is CEA's uncertainty analysis platform, based on ROOT
Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is available both for Unix and Windows platforms (a dedicated platform archive is available on request). Note : if you have downloaded version 3.12 before the 8th of february, a patch exists for a minor bug on TOutputFileKey file, don't hesitate to ask us.
VAPoRS stands for "Variable-dimensional Approximate Posterior for Relabeling and Summarization".
Graphical tool for data manipulation written in C++/QT.
Volbx is a graphical tool for data manipulation written in C++/QT. User can load data, filter, select, visualize, export and more using few clicks. Volbx reads, along with inner application format, xlsx and ods spreadsheet files. User can save output stream as csv or xlsx and plots as png files. Dynamic and interactive plots can be zoomed, moved, reset to initial state, quickly exported to clipboard and more. Application calculate dynamically such handy values as quantiles, standard deviation, average and more for given sample. This tool was originally created for real estate appraisal to give possibility, for people working in that area, to estimate past, current and future value of analysed properties. Project/start-up was dropped and decision about release of less specialized application was made. Most advanced and dedicated for real estates functionalities were cut but still some are quite useful. Used QT 5.3.2, QWT 6.1.1, QuaZip 0.7, Boost 1.55.0, MinGW 4.8.2
Soccer tournament predictions & simulations
Unique football (soccer) World Cup, European Cup and league (e.g. Bundesliga) simulation - based on Elo coefficient method, it calculates probabilities for Championship, Final, Quarter-Final, etc - additional features: single-play prediction, Elo number calculator, odd quota estimation Impress your friends with soccer expertise - just download, install & run!
Software for data analysis, image processing, simulations, solver.
Collection of utilities based on two basics classes: Matematica and VarData. Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing... VarData) manipulate a structure of points connected by links. Addraw) openGL engine. ElPoly) analyze mechanical properties of polymer and membrane like structures. Addyn) perform molecular dynamics and Monte Carlo simulations and has a solver for 4th oder PDE. Avvis) perform all the operation of Matematica on different sets of data visualized on a Qt graphical interface. DrImage) image manipulation on the Matematica filters. The program is intended to use as less as possible external libs (optional: openGL, gsl, fftw, cgal, png, tiff, boost, MPI, Qt...).
A Univariate Time Series Analysis package in ANSI C
CTSA is a C software package for univariate time series analysis. This is a work in progress. ARIMA and Seasonal ARIMA models have been added so far. Other functionality will be added soon . Documentation - https://github.com/rafat/ctsa/wiki
Format converting tool for genotype Data (e.g.PLINK-MACH,MACH-PLINK)
Main application is twofold: first to convert genotype SNP data into formats of different imputation tools like PLINK MACH, IMPUTE, BEAGLE and BIMBBAM, second to transform imputed data into different file formats like PLINK, HAPLOVIEW, EIGENSOFT and SNPTEST. Readable file formats: plink-pedigree (ped and map), plink-raw, plink-dosage, mach , minimac, impute, snptest, beagle and bimbam. Similarly all kinds of imputation of outputs are also accepted. Formats which can be generated by fcGENE: plink-pedigree, plink-raw, plink-dosage, mach-inputs, minimac-inputs, impute-inputs, beagle-inputs and bimbam-inputs, HAPLOVIEW-inputs, EIGENSOFT-inputs. Further application: -obtaining templates of necessary imputation commands and commands of other imputation tool - Quality control according as MAF,HWE & CALLRATE. key words: genotype transformation, convert genotype format, imputation output, PLINK, IMPUTE, MACH, minimac, HAPLOVIEW, BEAGLE, BIMBAM,EIGENSOFT.
A brief summary of the main features of Fesslix: - Perform non-intrusive reliability analysis or Bayesian updating either --- by running commands on the command line or --- by means of an Octave interface or --- by means of a Python interface - Flexible input language for writing Fesslix parameter files --- Control flow statements (e.g. if, for, while) --- Most parameters can be defined as functions - Working with response surfaces - Linear finite element analysis using truss, beam and plane stress/strain elements - Spectral Stochastic Finite Elements - Bayesian networks This is the download page for Windows executables of Fesslix.
* GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values (possibly obtained from VEGAS or GATES) and outputs pathway gene sets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * IMPORTANT NOTE: -> PLEASE MOVE OR MAKE A COPY OF 'DATA' FOLDER INTO YOUR INTENSIVE TEST FOLDER (I.E. LINUX OR MAC OR WINDOWS SPECIFIED FOLDER) TO ALLOW THE PROGRAM TO FIND THE PREDESIGNED DATA. * UPDATE NOTE: -> Mar-7-2018: revise header terms in the output file (all versions) -> Jan-8-2018: minor output format update for all versions -> Apr-3-2017: MacOSX command-line version is added. It also provides the PPI net summarization -> Mar-31-2017: Linux and Windows command-line versions now provide the PPI net summary results (except the net visualization)
Library for optimization using a genetic algorithm or particle swarms
libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported.
A C++ library for principal component analysis
libpca is a C++ library for principal component analysis and related transformations. It comes with example and unit tests. libpca is successfully tested on Linux and MacOSX using g++ (>=4.6), clang++ (>=3.2), and icc (>=14.0). libpca requires Armadillo (>=3.2.4) which can be obtained as a pre-compiled package on most distributions or directly from http://arma.sourceforge.net. libpca is being developed by Christian Blume. Contact Christian at firstname.lastname@example.org for any questions or comments.