Search Results for "network"
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Showing 36 open source projects for "network"
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A header file (cexcept.h) that provides Try/Throw/Catch macros similar to those available in C++ for error handling.
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AMEN (Annotation, Mapping, Expression and Network) is a stand-alone, unified suite of tools to manage, explore and combine biological multifaceted high-throughput data such as annotation, chromosomal location, expression and interaction data.
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TEACUP
TCP Experiment Automation Controlled Using Python
TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP congestion control algorithm), an experiment is made up of multiple tests. ... -
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Cygwin Ports
Repository of desktops and programs for the Cygwin platform
A large repository of open-source programs built for Cygwin, including X11 desktops, language interpreters, multimedia frameworks, cross-compiler toolchains, and much more. Also hosted here is the cygport tool for building Cygwin packages. cygport releases and the Ports Git repositories are hosted here; Ports packages are available from the website. -
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An open-source implementation of our network-based target deconvolution approach, named target addiction score (TAS). License: The TAS R-package is made available under the terms of the GNU General Public License, which means that the source code is freely available for use within other software, but if you alter the code and distribute it, you must make the new source code freely available as well.
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The Dataverse Network is a Java EE5 app that enables researchers to share data on-line. It provides data citation standards, facilitates preservation, distribution and replication of data, and includes statistical analysis. More at: http://thedata.org
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The Protein Similarity Network
Human protein similarity network used to predict drug safety.
This is the protein similarity network - PSIN. Here, the nodes are human proteins and they are linked only if they share considerable sequence similarity. We found that this network is particularly useful to distinguish approved from problematic drug-targets. Here you also find the complete set of programs and datasets we used for this purpose. Free to help further test and develop this project. -
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DESN
Differential activE sub-Network (DEN): R/Bioconductor based package
Living cells are complex, dynamic, self-regulatory, interactive systems, showing differential states across time and space. Complexity of cellular systems is highlighted with the multi-layered regulatory mechanisms involving the interactions between bio-molecules (such as DNA, RNA, mi-RNA and proteins). These interactions are analyzed in the form of static networks. Likewise, number of experimental techniques like microarray, RNASeq allows quantification of cellular dynamics and aid in... -
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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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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 matrix. The methodology is implemented in R. -
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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 currently. The app was and is developed at the University of Rochester (http://cbim.urmc.rochester.edu) under the GPL 3.0 license. ... -
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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).
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GISBox by Citiviz
Ready-to-use appliance for GIS, Data Mining and Analysis, Modelling...
GISBox by Citiviz is a ready-to-use virtual appliance containing an assortment of powerful, free and open source GIS, Data Mining and Analysis, Modelling and Programming software and packages. The pre-configured and tested GISBox allows you to try and use in few minutes a variety of software used by data scientists, engineers, physicists, mathematicians, geomatics engineers, and geographers from around the globe, without installing anything more than once the Oracle VirtualBox™ software... -
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VariabilityAnalysisInNetworks
An R package for identifying biologically perturbed networks
The VAN package enables an integrative analysis of (i) gene expression data with protein-protein interaction networks or (ii) gene and microRNA expression data with microRNA-gene interaction networks to identify biologically perturbed networks. -
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MyNook
A machine learning system for supervised document classification
An open source system for supervised document classification based on statistical machine learning techniques. On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself. -
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imDEV
Tools for multivariate data visualization, exploration and analysis.
You may also like some newer work: http://createdatasol.com/ Project imDEV is an application of RExcel, which seamlessly integrates Excel and R for tasks focused on multivariate data visualization, exploration, and analysis. Interactive modules for dimensional reduction (imPCA), prediction (imPLS), feature selection, analysis of correlation (imCorrelations) and generation of networked structures (imGraph) provide an integrated environment for systems level analysis of multivariate data. -
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YANG (Yet Another Network Generator - Java) enables you to generate social networks given various social rules observed in the real population. Uses: generate realistic networks to be used in individual-centric models, teaching or benchmarking.
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ALEXA-Seq is a method for using massively parallel paired-end transcriptome sequencing for 'alternative expression analysis'.
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Code to perform network analysis on brain imaging data. Updated code is at https://github.com/aaronab/brain-networks
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PheMaDB is a web-based data management system to store and analyze OmniLog Phenotype Microarray data. The manuscript can be accessed here: http://www.biomedcentral.com/1471-2105/12/109. Chang WE et al. BMC Bioinformatics. 2011 Apr 20;12(1):109.
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CNV Workshop is a web-enabled platform for analyzing genome variation such as copy number variation (CNV). Learn about CNV Workshop in our associated BMC Bioinformatics manuscript: http://www.biomedcentral.com/1471-2105/11/74
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This project is goaled a r-language wrap of Artificial Neural Network library libfann. also known as R-binding libfann
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ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.
