• Orca

  • Referenced in 4 articles [sw09792]
  • visualization toolkit for high-dimensional data. This article describes constructing interactive and dynamic linked data ... language. The data views are designed for data that have a multivariate component. The approach ... graphics based on data pipelines, in which different aspects of data processing and graphical rendering ... data pipeline, allowing developers to have greater control over their visualization applications. Importantly, new types...
  • digeR

  • Referenced in 2 articles [sw24474]
  • discovery. Analyzing such high-dimensional data requires multivariate analysis techniques to be applied. In addition ... modification (PTM) information from the 2D gel data is usually overlooked. We report ... DIGE (2D gel) data. It provides a tool for visually looking for potential PTM changes ... biological states and support biomarker discovery through multivariate analysis techniques. AVAILABILITY: digeR package is freely...
  • SIMCA

  • Referenced in 4 articles [sw20768]
  • Standard in Multivariate Data Analysis. For over three decades, Sartorius Stedim Data Analytics ... data using SIMCA. Whether it is large amounts of data, batch data, time-series data ... other data, SIMCA transforms your data into visual information for easy interpretation. This enables...
  • ProbExplorer

  • Referenced in 1 article [sw18625]
  • visual analysis widgets integrating different approaches to analyze multivariate probabilistic field data with direct volume...
  • ImageCube

  • Referenced in 1 article [sw11827]
  • image browser featuring a multi-dimensional data visualization. Image browsing techniques become increasingly important ... which are associated with multi-dimensional or multivariate datasets. We believe that image browsing ... should be inspired from multi-dimensional data visualization techniques. This paper presents ImageCube, a scatterplot...
  • RFmarkerDetector

  • Referenced in 1 article [sw26714]
  • collection of tools for multivariate analysis of metabolomics data, which includes several preprocessing methods ... normalization, scaling) and various exploration and data visualization techniques (Principal Components Analysis and Multi Dimensional...
  • netgwas

  • Referenced in 3 articles [sw21512]
  • regarding complex relationships among variables in multivariate data. They are widely used in statistics ... network for non-Gaussian, discrete, and mixed data (Behrouzi and Wit, 2017a), particularly in genotype ... functions for simulation and visualization as well as three multivariate example datasets are taken from...
  • TSMining

  • Referenced in 1 article [sw29030]
  • functions used to mine numeric time-series data. It covers the implementation of SAX transformation ... discovery (based on the random projection method), multivariate motif discovery (based on graph clustering ... several functions used for the ease of visualizing the motifs discovered. The details ... novel symbolic representation of time series, Data Mining and Knowledge Discovery...
  • COVAIN

  • Referenced in 1 article [sw10556]
  • complete workflow including uploading data, data preprocessing, uni- and multivariate statistical analysis, Granger time-series ... pathway mapping, correlation network topology analysis and visualization, and finally saving results in a user ... biochemical network based on metabolomics data. COVAIN was primarily developed for metabolomics data...
  • gt

  • Referenced in 1 article [sw26442]
  • multivariate distributions and simple high-dimensional geomtric shapes that can be used to visually calibrate ... starting XGobi or XLispStat on the calibration data sets, and C code for generating...
  • gcKrig

  • Referenced in 0 articles [sw18000]
  • with Gaussian copulas, including 1) data simulation and visualization; 2) correlation structure assessment (here also ... known as the NORTA); 3) calculate multivariate normal rectangle probabilities; 4) likelihood inference and parallel...
  • editrules

  • Referenced in 1 article [sw29956]
  • manipulating (multivariate) data restrictions (edit rules) on numerical and categorical data. Rules can be defined ... methods, allowing for feasibility checks and more. Data can be tested against the rules ... generalized principle. Rules dependencies can be visualized with using the ’igraph’ package...
  • ChromHMM

  • Referenced in 2 articles [sw29058]
  • multiple chromatin datasets such as ChIP-seq data of various histone modifications to discover ... marks. ChromHMM is based on a multivariate Hidden Markov Model that explicitly models the presence ... chromatin state annotations that can be directly visualized in a genome browser...
  • TOMCAT

  • Referenced in 2 articles [sw01049]
  • files, called TOMCAT (TOolbox for Multivariate CAlibration Techniques). The graphical interface and its routines ... gives a straightforward possibility to visualize the obtained results. Several useful features such as interactive ... plot, viewing the content of the data, easy transfer of the data between the toolbox...
  • KyPlot

  • Referenced in 1 article [sw00496]
  • data with a broad range of statistical methods in an interactive manner, and visualize ... nonparametric tests, regression analysis, procedures for multivariate analysis (principal component, factor, discriminant and canonical correlation...
  • EMDLAB

  • Referenced in 1 article [sw26225]
  • sliding EMD (wSEMD) and multivariate EMD (MEMD) on EEG data. In addition, EMDLAB ... open-source toolboxes by exploiting the advantageous visualization capabilities of EEGLAB for extracted intrinsic mode...
  • rCOSA

  • Referenced in 1 article [sw18036]
  • objects on subsets of attributes in multivariate data. The main output of COSA ... squares multidimensional scaling, partitional clustering, and data visualization. In the many publications that cite...
  • MetNet

  • Referenced in 1 article [sw25662]
  • designed to enable the biologist to visualize, statistically analyse and model a metabolic and regulatory ... Arabidopsis, combined with gene expression profiling data. It contains a JAVA interface to an interactions ... together with gene expression data, can be viewed using multivariate graphics tools in GGobi linked ... relevant expression data highlighted in other data plots. Multi-dimensional expression data can be rotated...
  • ModuleMaster

  • Referenced in 1 article [sw23009]
  • considers transcription factor binding information but also multivariate functional relationships between regulators and target genes ... clustering experiment, the program includes all necessary data and algorithms to perform every step ... batch processing. The detected CRMs can be visualized and evaluated in various ways, i.e., generating...
  • ROOT

  • Referenced in 3 articles [sw20052]
  • petabyte data storage, statistical analysis and visualization. ROOT is an object-oriented C++ framework conceived ... designed for storing and analyzing petabytes of data in an efficient way. Any instance ... statistical data analysis over very large data sets by using vertical data storage techniques. These ... file systems. In order to analyze this data, the user can chose...