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ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...
UpSet plots became popular as they became available as an R-library based on ggplot2, [3] and were subsequently re-implemented in various programming languages, such as Python, and others. [4] As of January 2024, UpSetR has been downloaded from CRAN more than 1.5 million times, although it was last updated 5 years ago. [ 5 ]
Ligand-based virtual screening software that searches for 2D and 3D similarities between a reference compound and a database of target compounds. MagicPlot: GUI: Proprietary: No 2008: January 18, 2021 / 3.0: Any : Nonlinear fitting, batch processing Maple: GUI, command line: Proprietary: No 1982 May 25, 2017 / 2017: Linux, Mac OS X, Windows ...
Demonstration of density estimation using Kernel density estimation: The true density is a mixture of two Gaussians centered around 0 and 3, shown with a solid blue curve.
The major axis of this ellipse falls on the orthogonal regression line for the three vertices. [7] The quantification of a biological cell's intrinsic cellular noise can be quantified upon applying Deming regression to the observed behavior of a two reporter synthetic biological circuit .
recursiveCorPlot Correlation based clustering for RNA-seq data (+ ggplot corrplot-like interface - R-package: recursiveCorPlot). [66] RNAeXpress Can be run with Java GUI or command line on Mac, Windows, and Linux. It can be configured to perform read counting, feature detection or GTF comparison on mapped rnaseq data.
In multivariate statistics, a scree plot is a line plot of the eigenvalues of factors or principal components in an analysis. [1] The scree plot is used to determine the number of factors to retain in an exploratory factor analysis (FA) or principal components to keep in a principal component analysis (PCA).
An Andrews curve for the Iris data set. In data visualization, an Andrews plot or Andrews curve is a way to visualize structure in high-dimensional data. It is basically a rolled-down, non-integer version of the Kent–Kiviat radar m chart, or a smoothed version of a parallel coordinate plot.