This package implements a variety of methods for batch correction of single-cell (RNA sequencing) data. This includes methods based on detecting mutually nearest neighbors, as well as several efficient variants of linear regression of the log-expression values. Functions are also provided to perform global rescaling to remove differences in depth between batches, and to perform a principal components analysis that is robust to differences in the numbers of cells across batches.

From the perspective of metabolites as the continuation of the central dogma of biology, metabolomics provides the closest link to many phenotypes of interest. This makes metabolomics research promising in teasing apart the complexities of living systems. However, due to experimental reasons, the data includes non-biological variation which limits quality and reproducibility, especially if the data is obtained from several batches. The batchCorr package reduces unwanted variation by way of between-batch alignment, within-batch drift correction and between-batch normalization using batch-specific quality control samples and long-term reference QC samples. Please see the associated article for more thorough descriptions of algorithms.

This package provides consistent batch means estimation of Monte Carlo standard errors.

This package contains the Battenberg R package for subclonal copy number estimation, as described by Nik-Zainal et al.

As a successor of the packages BatchJobs and BatchExperiments, this package provides a parallel implementation of the Map function for high performance computing systems managed by various schedulers. A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproducible way.

Battlefield is a Swiss-army toolkit originally developed to define and extract spatial spots from specific tissue regions—such as front regions, niche borders, invasive margins, and cluster interfaces—using spatial transcriptomics data or clustered tissue maps. It has since been extended to support trajectory selection and layer inspection, and now provides a collection of low-level utilities for spatial transcriptomics analysis. These utilities are primarily intended to be reused within higher-level analytical packages. It is designed to work with sequencing-based platforms such as Visium at several resolutions and Visium HD(binned).

Documentation at https://melpa.org/#/bats-mode

Define a standard set of libraries which may be expected on every compliant installation of OCaml and organize these libraries into a hierarchy of modules.

Documentation at https://melpa.org/#/batppuccin

This package provides a BibTeX style to format reference lists in the Harvard style recommended by the University of Bath Library. It should be used in conjunction with natbib for citations.

In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The crew.aws.batch package extends the mirai'-powered crew package with a worker launcher plugin for AWS Batch. Inspiration also comes from packages mirai by Gao (2023) <https://github.com/r-lib/mirai>, future by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, rrq by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, clustermq by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and batchtools by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.

Documentation at https://melpa.org/#/battle-haxe

Makes it easy to download financial data from Yahoo Finance <https://finance.yahoo.com/>.

This package provides a Common Lisp library for getting the battery information.

Extends the BatchJobs package to run statistical experiments on batch computing clusters. For further details see the project web page.

Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to find out a subset of variables best representing the original set of variables.

Documentation at https://melpa.org/#/fancy-battery

This package provides a Common Lisp library for getting the battery information.

This package provides a spawner for Jupyterhub to spawn notebooks using batch resource managers.

This Vim plugin extends the built-in `sh.vim` to support the Bats (Bash Automated Testing Framework) testing framework's syntax.

This package provides fancy-battery-mode which is like the built-in display-battery-mode, but more fancy. It just the remaining time, uses colours to indicate the status of the battery, and is more customizable.

Implementation of the Future API <doi:10.32614/RJ-2021-048> on top of the batchtools package. This allows you to process futures, as defined by the future package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute ('HPC') job schedulers such as LSF', OpenLava', Slurm', SGE', and TORQUE / PBS', e.g. y <- future.apply::future_lapply(files, FUN = process)'.

This package provides a Common Lisp library for getting the battery information.

A battery monitor panel plugin for Xfce4, compatible with APM and ACPI.