Showing 21 open source projects for "correlation"

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  • 1
    R packages (maintained by YJLEE)

    R packages (maintained by YJLEE)

    R packages for PK/PD modeling , BE/BA, drug stability, ivivc, etc.

    These R packages are developed for data analysis of PK/PD modeling & simulation, bioequivalence/bioavailability (BE/BA), drug stability, in-vitro and in-vivo correlation (ivivc), as well as therapeutic drug monitoring (TDM).
    Downloads: 24 This Week
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  • 2
    AtteStat

    AtteStat

    The package for statistical data analysis and applied mathematics

    Less means - more power. The high performance open source package for statistical data analysis and applied mathematics AtteStat is an add-in for desktop versions of the Microsoft Excel spreadsheets. Both 32-bit and 64-bit in one package. The combination of the unsurpassed convenience of spreadsheets and the effective interception of Microsoft Excel exceptions (frontend) and the maximum speed of the C++ programming language (backend). Winner of contest Microsoft Office Extensions (PC...
    Downloads: 16 This Week
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  • 3

    DataPrep

    Python-based data preprocessing tool

    DataPrep v0.2 is a Tkinter-based GUI application/tool designed to assist users in data preprocessing, multicollinearity removal, and feature selection for a wide range of applications in Cheminformatics, Bioinformatics, Data Analysis, Feature Selection, Molecular Modeling, Machine Learning, and Quantitative-structure-property relationship (QSPR) studies. It includes functionality to load, process, and save datasets with support for different preprocessing & multicollinearity removal...
    Downloads: 0 This Week
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  • 4
    StatAnt

    StatAnt

    The package for statistical data analysis

    Aspire to perfection. The high performance open source package for statistical data analysis StatAnt is a standalone cross-platform application. Completely free. No donation required. StatAnt comes with absolutely no warranty. The software is not certified for use in healthcare. Please do not use this software for purposes related to diagnosing diseases or making treatment decisions.
    Downloads: 0 This Week
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  • 5
    gsasnp2

    gsasnp2

    PubMed ID: 29562348 / DOI: 10.1093/nar/gky175

    * 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 and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data...
    Downloads: 1 This Week
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  • 6
    An R package for metrology. metRology provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and (eventually) inter-laboratory metrology comparison studies.
    Downloads: 0 This Week
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  • 7
    JStats

    JStats

    JStats is a Java application/applet for statistical testing.

    ...The following tests are supported: * Parametric tests: T-test, ANOVA, Repeated Measures ANOVA * Non-parametric tests: Wilcoxon Rank-Sum, Wilcoxon Signed-Ranks, Kruskal-Wallis, Friedman * Check if datasets are normally distributed: Jarque-Bera, Shapiro-Wilk * Check if datasets have equal variances: F-test, Bartlett's test, John, Nagao and Sugiura's test * Correlation: Correlation coefficient, Spearman Rank correlation, linear regression * Confidence intervals test * Outliers: Generalized Extreme Studentized (ESD) test, outliers in ANOVA The latest version is available as applet on http://aiguy.org/Statistics.html
    Downloads: 0 This Week
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  • 8

    LightPCC

    Parallel pairwise correlation computation on Intel Xeon Phi clusters

    The first parallel and distributed library for pairwise correlation/dependence computation on Intel Xeon Phi clusters. This library is written in C++ template classes and achieves high speed by exploring the SIMD-instruction-level and thread-level parallelism within Xeon Phis as well as accelerator-level parallelism among multiple Xeon Phis. To facilitate balanced workload distribution, we have proposed a general framework for symmetric all-pairs computation by building provable bijective functions between job identifier and coordinate space for the first time.
    Downloads: 0 This Week
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  • 9
    A Matlab software routine to perform Principal Component Analysis using Covariance, Correlation or Comedian as the criterion. Though, initially developed for experiments related to fretting wear but can be effectively used to interpret experimental data from any field. The attached files contain source code as well as a sample MATLAB (.mat) data file of 13 variables. It could be replaced to the data file of your choice.
    Downloads: 0 This Week
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  • 10

    GPMfit

    Gaussian Process Model Fitting

    Gaussian Process model for fitting deterministic simulator output. Establish efficient and reliable likelihood optimization through hybridized DIRECT-BFGS and multi-start BFGS algorithms. Programming Language: Matlab.
    Downloads: 0 This Week
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  • 11

    jAgg

    jAgg - Java Aggregation Operations

    jAgg is a Java 5.0 API that supports “group by” operations on Lists of Java objects: aggregate operations such as count, sum, max, min, avg, and many more. It supports Super Aggregation: Rollups, Cube, and Grouping Sets. It supports analytic operations such as lag/lead and row number and more. It also allows custom aggregate and analytic operations.
    Downloads: 0 This Week
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  • 12

    metabnorm

    A mixed model normalization method for metabolomics data

    ...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.
    Downloads: 0 This Week
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  • 13

    leave-kojack

    Leave-k-out-Jackknife Pearson correlation

    In general, Pearson correlation coefficients can be quite error-prone to outliers, thus Jackknifing may be helpful. I could not find any useful implementation for calculating more than leave-1-out Jackknife Pearson correlation coefficients. 'leave-kojack' offers an implementation for Jackknife Pearson correlation with dynamic values of k, i.e. leave-k-out Pearson correlation.
    Downloads: 0 This Week
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  • 14
    Statcato
    Statcato is a Java software application for elementary statistics. Its features include data and graph generation, probability distributions, descriptive statistics, confidence intervals, hypothesis tests, correlation, regression, and analysis of var
    Downloads: 12 This Week
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  • 15
    Robust Correlation Toolbox

    Robust Correlation Toolbox

    Free Matlab toolbox to compute robust correlations

    The Robust Correlation Toolbox is a free collection of Matlab functions allowing to visualize data in univariate and bivariate space, check assumptions of normality and homoscedasticity and compute Pearson's and Spearman's, percentage bend, and skipped correlations with bootstrapped confidence intervals - see http://www.frontiersin.org/Quantitative_Psychology_and_Measurement/10.3389/fpsyg.2012.00606/full -- code moved to https://github.com/CPernet/robustcorrtool
    Downloads: 1 This Week
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  • 16

    Math Simulator

    A simulation software for numerical techniques.

    Math Simulator is a java-based application which simulates various mathematical techniques.It is extremely useful for the Engineering students and for professionals. Most importantly, unlike most others Math Simulator is an Application rather than a java - library. So, user is not required to have any computer background. A Unique feature of Math Simulator is that it allows you to save queries for later reference. Hence you can save the problems along with their results.
    Downloads: 0 This Week
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  • 17

    MCPerm: Monte Carlo SNP permutation

    Monte Carlo permutation method for SNP multiple test correlation

    MCPerm: A Monte Carlo permutation method for multiple test correlation in case-control association study Traditional permutation (TradPerm) test is an important non-parametric analysis method which can be treated as the gold standard for multiple testing corrections in case-control association study. However, it relies on the original single nucleotide polymorphism (SNP) genotypes and phenotypes data to perform a large number of random shuffles, and thus it is computationally intensive, especially for genome-wide association study (GWAS). ...
    Downloads: 0 This Week
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  • 18
    imDEV

    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.
    Downloads: 1 This Week
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  • 19
    ShiVaSmiles

    ShiVaSmiles

    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 !
    Downloads: 0 This Week
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  • 20
    Calculate within- and between-groups correlation.
    Downloads: 0 This Week
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  • 21

    Statastizard

    Statistics Wizard

    ...Because time after time, people come to me with some test that they've done that they think "proves" something - when in reality they've either not done a comparative test to start with (ex. a correlation), failed to test for confounding factors (such as normality etc) and as a result, failed to appropriately identify even the right test to do.
    Downloads: 0 This Week
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