Search Results for "library" - Page 2

...The generated density maps are saved in the Grid3D native .g3d format and can be visualized using a third party data visualization software. A converter from the .g3d format to .vti, an XML based format of the VTK library is provided with the "Grid3D Toolbox", so that the generated density maps can be visualized using the ParaView data analysis and visualization software (http://www.paraview.org). For more details read the upcoming publication in Faraday Discussions: FD169: Density based visualization for molecular simulation.

...It employs metabolic labeling by BrU of newly synthesized RNAs to chase chronological decreases of BrU-labeled RNA (Pulse-chase labeling), followed by immunoprecipitation with antibody for BrU, construction of cRNA library for High-throughput sequencing and computational data analysis. -What is BriPy? BriPy package is a BRIC-seq data analysis tool written in Python. It can calculate RNA half-life for each transcript and draw graphs describing the kinetics of RNA decay. In the future, it will provide several useful modules(e.g. calculating RPKM of each transcript from BAM file or ELAND output file). ...

Census is a comprehensive cross-platform project manager and integration hub for NONMEM, the gold standard tool for model-based pharmacometric data analysis.

feed4weka is an open library that enriches weka (http://www.cs.waikato.ac.nz/ml/weka/), an open source project for data analysis. It integrates new classification and clustering algorithms, and adds the coclustering and outlier detection frameworks

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.

Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular statistics in R. ...

This project is a fork of the CERN Program Library is a large collection of general purpose libraries/ This program is oriented to needs of a physics laboratory that is general mathematics, data analysis, detectors simulation, data-handling etc... The project have moved and is alive at http://opencernlib.tuxfamily.org/

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

pyastrolib is a python library providing professional astronomers a robust set of tools for astronomical data analysis. This project will provide all the functionality as NASA's IDL Astronomy User's Library in addition to other planned features.

ViVA is a desktop package for interactive visualization and visual data analysis.  It offers twenty linked visualizations and a library of 250 math functions, which can be used to create new variables or transformations "on-the-fly".

Java OpenCL Process Virtual Machine. Spring IoC based framework for complex data analysis with OpenCL computing.

This library implements self-organizing neural networks, also called Kohonen Nets. They can be used for high dimensional data analysis. Example: content based image recognition ( CBIR ).