Search Results for "open source rmm" - Page 5
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Showing 257 open source projects for "open source rmm"
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BeerFest DB
Beer festival cellar management database and related software.
The BeerFest DB project will be designed as a reusable software package to help organize beer festivals and record information concerning past events. Initially it will focus on tracking cask information (e.g., ordering, sales, quality control). -
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Hackathon for Outbreak Analysis in R
A hackathon for the analysis of disease outbreaks in R
This is the sourceforge project supporting "Hackout: A hackathon for the analysis of disease outbreaks in R". It includes a repository for the collective development of the project's R package. -
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The c2001 spatio-temporal mining library
An open source spatio-temporal data mining library
Current functions: 1. The General Association Rule Mining Framework(GARMF) library, which support mining association rules from transactions(boolean, weighted, fuzzy), spatial datasets (vector and raster) and spatio-temporal datasets (raster snapshots). Besides it support incremental mining. 2. Rule Filtering Library (RFL), a library for rule evaluation. 3. Besides, DAP-Shell, a GUI shell for GARMF and RFL, will be provided. However I'll pay no more attention on it. -
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e-Science Central
Cloud based scientific data analysis
e-Science Central has moved to BitBucket, please visit: https://bitbucket.org/digitalinstitute/esciencecentral/ -
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Digital Expression on the Web
DEW is a platform that allows users to explore RNA-Seq data
DEW is a platform that allows users to explore RNA-Seq data. A web-based Graphical User Interface is included. The analysis proceeds as such: gapped alignments are performed and corrected for length, PCR and fragment bias so that a Fragment Per (effective) Kilobase per Million of reads (FPKM) is estimated as well as the simpler Reads Per Kb per Million of reads (RPKM). When provided with multiple isoforms and in the ‘contextual’ mode, corrections include a expectation maximization... -
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CoLabR
A simple user interface to the R software environment.
A simple user interface to the R software environment. It is designed for people new to R and provides the user with easy access to their variables and data along with pointers to the most basic commands. It also allows for multiple people to share data across different sessions on different machines. In this way it also offers a collaborative environment for people to work together in remote locations. -
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An implementation of the Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method for MATLAB and R. The supplied functionality includes e.g. cross-validation, kernel parameter optimization, model diagnostics and plot tools.
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QUASI is a toolkit to rapidly assess the quality of shRNA-Seq based data and call differential abundance using common statistical inference methods (DESeq, edgeR, baySeq).
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metabnorm
A mixed model normalization method for metabolomics data
In metabolomics the goal is to identify and measure the concentrations of di fferent metabolites (small molecules) in a cell or a biological system. The metabolites form an important layer in the complex metabolic network, and the interactions between di fferent metabolites are often of interest. It is crucial to perform proper normalization of metabolomics data and here we share the code for a normalization approach based on a mixed model, with simultaneous estimation of a correlation... -
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A collection of code, bundled into a single R package, to perform several aspects of data management, image pre-processing, data analysis and statistical inference related to the quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI).
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cpR Chemical Pathology interface for R
A graphical user interface to R for use in Clinical Chemistry
This project is a graphical user interface to the R statistical programming language designed for use in Clinical Chemistry. It allows the user to perform Passing Bablok, Deming and Linear Regression and to produce high quality images in any file format for publication. The front end is written in Python 3.3 and PyQt4 and the form was designed using Qt4 Designer. The statistical analysis is written in R. The compiled binary was made with cx_freeze. This software is free and open-source... -
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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. Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional... -
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IQuant
A pipeline for quantitative proteomics based upon isobaric tags
...-8plex for testing and a user's manual. If you have any question about IQuant, please contact me: wenbo@genomics.cn. The source code of IQuant can be found here "https://sourceforge.net/p/iquant/code/". -
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vipR is a program to screen for sequence variants (SNPs, deletions) in sequence data generated by high-throughput-sequencing platforms. Information on this and other projects can be found on: http://www.altmann.eu
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SimiTriX-SimiTetra
Similarity, Comparative genomic, Visualization, Eclipse RCP, SimiTri
This application system is based on Eclipse RCP, and it uses the JFreeChart and JOGL library to implement the chart drawing and OpenGL. There are some scripts to generate similarity data for main application and to analysis result. It is an useful tool to visualize relative similarity relationship between different datasets. -
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phcfM
R package for modelling anthropogenic deforestation
phcfM is an R package for modelling anthropogenic deforestation. It was named after the REDD+ pilot-project 'programme holistique de conservation des forêts à Madagascar'. phcfM includes two main functions: (i) demography(), to model the population growth with time in a hierarchical Bayesian framework using population census data and Gaussian linear mixed models and (ii) deforestation(), to model the deforestation process in a hierarchical Bayesian framework using land-cover change data and... -
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ADRminer
An R package for the automated generation of drug safety signals
Adverse Drug event Reporting systems miner -
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RIPE (Regulatory network Inference from joint Perturbation and Expression data) is a novel three-step method that integrates both perturbation data and steady state gene expression data in order to estimate a regulatory network. The ripe package is written in R, with additional functionality provided by a MATLAB executable file. The executable file uses a runtime engine called the MATLAB Compiler Runtime (MCR). The executable for different architectures is distributed on this site together...
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SimAssem
For processing and/or simulating species assemblage data.
... existing and simulated encounter data for other programs. SimAssem, along with the open source code, will hopefully give researchers and managers a tool for assessing the development of new estimators and evaluating potential decisions in a simulated environment. More information on SimAssem is given in Chapter 2, 'SimAssem: a program for simulating species assemblages and estimating species richness', in the dissertation 'Simulating species assemblages and evaluating species richness estimators'. -
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AWclust is easy to use non-parametric population structure analysis software written for R with a GUI interface. Just point and click and you will be on your way to discovering the important cluster information in your SNP data sets.
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sjPlot
sjPlot - data visualization for statistics in social science
An R-package for data visualization for statistics in social science. -
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msBayes allows complex and flexible phylogeographic inference. More specifically, you can test the simultaneous divergence (TSD) of multiple population (species) pairs. It uses approximate Bayesian computation (ABC) under a hierarchical model.
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EnvStats
An R Package for Environmental Statistics
EnvStats is an R package for environmental statistics. It is the open-source successor to the commercial module for S-Plus© called "EnvironmentalStats for S-Plus", which was first released in April, 1997. The EnvStats package, along with the R software environment, provides comprehensive and powerful software for environmental data analysis. EnvStats brings the major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along...