This package contains some functions to help users (especially data explorers) to make more sense of their variables and take the most out of variables and hardware resources. Functions in this package are supposed to be efficient and easy to use.

This is the official Emacs package for Racer. It supports code completion of variables, functions and modules. It can also jump to definition of functions and types, and show a help buffer based on the docstring of the thing at point.

The x25519 gem is an efficient public key cryptography library for Ruby providing key exchange/agreement via the X25519 (as known as Curve25519) Elliptic Curve Diffie-Hellman function as described in RFC 7748.

This package provides a function for reconstructing DNA methylation values from raw measurements. It iteratively implements the group fused lars to smooth related-by-location methylation values and the constrained least squares to remove probe affinity effect across multiple sequences.

netSmooth is an R package for network smoothing of single cell RNA sequencing data. Using bio networks such as protein-protein interactions as priors for gene co-expression, netsmooth improves cell type identification from noisy, sparse scRNAseq data.

This package provides a set of R bindings for the Selenium 2.0 WebDriver (see https://selenium.dev/documentation/en/ for more information) using the JsonWireProtocol (see https://github.com/SeleniumHQ/selenium/wiki/JsonWireProtocol for more information). Selenium 2.0 WebDriver allows driving a web browser natively as a user would either locally or on a remote machine using the Selenium server it marks a leap forward in terms of web browser automation. Selenium automates web browsers (commonly referred to as browsers). Using RSelenium you can automate browsers locally or remotely.

This package provides fast maximum-likelihood phylogeny inference from noisy single-cell data using the ScisTree algorithm proposed by doi.org/10.1093/bioinformatics/btz676, Yufeng Wu (2019). It makes the method applicable to massive single-cell datasets (>10,000 cells).

The choices of color palettes in R can be quite overwhelming with palettes spread over many packages with many different API's. This package aims to collect all color palettes across the R ecosystem under the same package with a streamlined API.

This package aims to provide easy-to-use, efficient, flexible and scalable statistical tools. It provides and uses file-backed big matrices via memory-mapping. It provides for instance matrix operations, Principal Component Analysis, sparse linear supervised models, utility functions and more.

Patron is a Ruby HTTP client library based on libcurl. It does not try to expose the full power (read complexity) of libcurl but instead tries to provide a sane API while taking advantage of libcurl under the hood.

This package adds indicators (spinner, progress bar, gif) that you can use in your Shiny applications to show the user that the server is busy. It also provides other tools to let your users know something is happening (send notifications, reports, ...).

This package provides unified plotting tools for statistics commonly used, such as GLM, time series, PCA families, clustering and survival analysis. The package offers a single plotting interface for these analysis results and plots in a unified style using the ggplot2 package.

This package provides tools to download the climatic data of the Spanish Meteorological Agency (AEMET) directly from R using their API and create scientific graphs (climate charts, trend analysis of climate time series, temperature and precipitation anomalies maps, warming stripes graphics, climatograms, etc.).

Parsing pepXML files based one XML package. The package tries to handle pepXML files generated from different softwares. The output will be a peptide-spectrum-matching tabular file. The package also provide function to filter the PSMs based on FDR.

This package generates a Miami plot with centered chromosome labels. The output is a ggplot2 object. Users can specify which data they want plotted on top vs. bottom, whether to display significance line(s), what colors to give chromosomes, and what points to label.

Create tree structures from hierarchical data, and traverse the tree in various orders. Aggregate, cumulate, print, plot, convert to and from data.frame and more. This is useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.

This package provides tools for capturing logic in a Shiny app and exposing it as code that can be run outside of Shiny (e.g., from an R console). It also provides tools for bundling both the code and results to the end user.

This package provides three functions for dealing with dates: parse_iso_8601 recognizes and parses all valid ISO 8601 date and time formats, parse_date parses dates in unspecified formats, and format_iso_8601 formats a date in ISO 8601 format.

Custom made algorithm and associated methods for finding, visualising and analysing biclusters in large gene expression data sets. Algorithm is based on with a supplied gene set of size n, finding the maximum strength correlation matrix containing m samples from the data set.

This package provides an interface to several normalization and statistical testing packages for RNA-Seq gene expression data. Additionally, it creates several diagnostic plots, performs meta-analysis by combinining the results of several statistical tests and reports the results in an interactive way.

The r-ggformula introduces a family of graphics functions, gf_point(), gf_density(), and so on, bring the formula interface to ggplot(). This captures and extends the excellent simplicity of the lattice-graphics formula interface, while providing the intuitive capabilities of r-ggplot2.

This package provides infrastructure for seriation with an implementation of several seriation/sequencing techniques to reorder matrices, dissimilarity matrices, and dendrograms. It also provides (optimally) reordered heatmaps, color images and clustering visualizations like dissimilarity plots, and visual assessment of cluster tendency plots (VAT and iVAT).

pass-rotate is a command line utility and python library for rotating passwords on various web services. It makes it easier to rotate your passwords, one at a time or in bulk, when security events or routine upkeep of your online accounts makes it necessary.

Implementation of a clustering method for time series gene expression data based on mixed-effects models with Gaussian variables and non-parametric cubic splines estimation. The method can robustly account for the high levels of noise present in typical gene expression time series datasets.