python3-habluetooth

High availability Bluetooth

Python interface for managing Bluetooth devices with high availability features, designed to support robust wireless communication set ups. Facilitates reliable connectivity and efficient handling of multiple devices, making it suitable for applications like home automation where consistent device availability is crucial.

cage

Kiosk compositor for Wayland

Cage is a kiosk compositor for Wayland. A kiosk is a window manager (in the X11 world) or compositor (in the Wayland world) that is designed for a user experience wherein user interaction and activities outside the scope of the running application are prevented. That is, a kiosk compositor displays a single maximized application at a time and prevents the user from interacting with anything but this application.

cifs-utils

Common Internet File System utilities

The SMB/CIFS protocol provides support for cross-platform file sharing with Microsoft Windows, OS X, and other Unix systems.

libqalculate23

Powerful and easy to use desktop calculator - library

Qalculate! is small and simple to use but with much power and versatility underneath. Features include customizable functions, units, arbitrary precision, plotting, and a graphical interface that uses a one-line fault-tolerant expression entry (although it supports optional traditional buttons).

node-vinyl

Virtual file format

Vinyl is a very simple metadata object that describes a file. When you think of a file, two attributes come to mind: `path` and `contents`. These are the main attributes on a Vinyl object. A file does not necessarily represent something on your computer’s file system. You have files on S3, FTP, Dropbox, Box, CloudThingly.io and other services. Vinyl can be used to describe files from all of these sources.

r-bioc-sva

GNU R Surrogate Variable Analysis

The sva package contains functions for removing batch effects and other unwanted variation in high-throughput experiment. Specifically, the sva package contains functions for the identifying and building surrogate variables for high-dimensional data sets. Surrogate variables are covariates constructed directly from high-dimensional data (like gene expression/RNA sequencing/methylation/brain imaging data) that can be used in subsequent analyses to adjust for unknown, unmodeled, or latent sources of noise. The sva package can be used to remove artifacts in three ways: (1) identifying and estimating surrogate variables for unknown sources of variation in high-throughput experiments (Leek and Storey 2007 PLoS Genetics,2008 PNAS), (2) directly removing known batch effects using ComBat (Johnson et al. 2007 Biostatistics) and (3) removing batch effects with known control probes (Leek 2014 biorXiv). Removing batch effects and using surrogate variables in differential expression analysis have been shown to reduce dependence, stabilize error rate estimates, and improve reproducibility, see (Leek and Storey 2007 PLoS Genetics, 2008 PNAS or Leek et al. 2011 Nat. Reviews Genetics).