run.Group is a universal mechanism to manage goroutine lifecycles, written to manage component lifecycles in func main for OK Log. It's useful in any circumstance where you need to orchestrate multiple goroutines as a unit whole.

This package extends the function of the LiquidAssociation package for genome-wide application. It integrates a screening method into the LA analysis to reduce the number of triplets to be examined for a high LA value and provides code for use in subsequent significance analyses.

Apache Maven is a software project management and comprehension tool. This package contains the Maven Artifact classes, providing the Artifact interface, with its DefaultArtifact implementation. The jar file is executable and provides a little tool to display how Maven parses and compares versions:

This package provides user-friendly tools for creating and customizing clinical trial reports. By leveraging the teal framework, this package provides teal modules to easily create an interactive panel that allows for seamless adjustments to data presentation, thereby streamlining the creation of detailed and accurate reports.

This package implements the Brakerski-Fan-Vercauteren (BFV, 2012) <https://eprint.iacr.org/2012/144>, Brakerski-Gentry-Vaikuntanathan (BGV, 2014) <doi:10.1145/2633600>, and Cheon-Kim-Kim-Song (CKKS, 2016) <https://eprint.iacr.org/2016/421.pdf> schema for Fully Homomorphic Encryption. The included vignettes demonstrate the encryption procedures.

An implementation for using efficient initials to compute the maximal eigenpair in R. It provides three algorithms to find the efficient initials under two cases: the tridiagonal matrix case and the general matrix case. Besides, it also provides two algorithms for the next to the maximal eigenpair under these two cases.

Constructors of waveband objects for commonly used biological spectral weighting functions (BSWFs) and for different wavebands describing named ranges of wavelengths in the ultraviolet (UV), visible (VIS) and infrared (IR) regions of the electromagnetic spectrum. Part of the r4photobiology suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

Like Iterator::take_while, but calls the predicate on a peeked value. This allows you to use Iterator::by_ref and Iterator::take_while together, and still get the first value for which the take_while predicate returned false after dropping the by_ref.

This library enables path variables in networking routes when using Hunchenissr for Common Lisp. If a part of the path (between two slashes) starts with a question mark (?), that symbol (without question mark) will be bound to whatever value was in the same place in the URL (as a string).

Get ENCODE data of enhancer region via H3K4me1 peaks and search homolog regions for given sequences. The candidates of enhancer homolog regions can be filtered by distance to target TSS. The top candidates from human and mouse will be aligned to each other and then exported as multiple alignments with given enhancer.

Selenium implements the W3C WebDriver protocol to automate popular browsers. It aims to mimic the behaviour of a real user as it interacts with the application's HTML. It's primarily intended for web application testing, but any web-based task can be automated. This package provides the Ruby bindings of Selenium.

tidySpatialExperiment provides a bridge between the SpatialExperiment package and the tidyverse ecosystem. It creates an invisible layer that allows you to interact with a SpatialExperiment object as if it were a tibble; enabling the use of functions from dplyr, tidyr, ggplot2 and plotly. But, underneath, your data remains a SpatialExperiment object.

This crate defines an unsafe marker trait, StableDeref, for container types which deref to a fixed address which is valid even when the containing type is moved. For example, Box, Vec, Rc, Arc and String implement this trait. Additionally, it defines CloneStableDeref for types like Rc where clones deref to the same address.

Combining P-values from multiple statistical tests is common in bioinformatics. However, this procedure is non-trivial for dependent P-values. This package implements an empirical adaptation of Brown’s Method (an extension of Fisher’s Method) for combining dependent P-values which is appropriate for highly correlated data sets found in high-throughput biological experiments.

This package provides raw data objects to be used for blood cell proportion estimation in minfi and similar packages. The FlowSorted.Blood.EPIC object is based in samples assayed by Brock Christensen and colleagues; for details see Salas et al. 2018. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE110554.

This package provides a splittable PRNG functions like a PRNG that can be used as a stream of random values; it can also be split to produce a second, independent stream of random values.

This library implements a splittable pseudo-random number generator that sacrifices cryptographic-quality randomness in favor of performance.

Allows you to retrieve information from the Google Knowledge Graph API <https://www.google.com/intl/bn/insidesearch/features/search/knowledge.html> and process it in R in various forms. The Knowledge Graph Search API lets you find entities in the Google Knowledge Graph'. The API uses standard schema.org types and is compliant with the JSON-LD specification.

This package calculates a similarity coefficient using the fold changes of shared features (e.g. genes) among clusters of different samples/batches/datasets. The similarity coefficient is calculated using the dot-product (Hadamard product) of every pairwise combination of Fold Changes between a source cluster i of sample/dataset n and all the target clusters j in sample/dataset m.

This package provides a novel method for interpreting new transcriptomic datasets through near-instantaneous comparison to public archives without high-performance computing requirements. Through the pre-computed index, users can identify public resources associated with their dataset such as gene sets, MeSH term, and publication. Functions to identify interpretable annotations and intuitive visualization options are implemented in this package.

The iterator APIs in the Rust standard library do not allow elements to be yielded which borrow from the iterator itself. That means, for example, that the std::io::Lines iterator must allocate a new String for each line rather than reusing an internal buffer. The StreamingIterator trait instead provides access to elements being iterated over only by reference rather than by value.

Perform interactive occupation coding during interviews as described in Peycheva, D., Sakshaug, J., Calderwood, L. (2021) <doi:10.2478/jos-2021-0042> and Schierholz, M., Gensicke, M., Tschersich, N., Kreuter, F. (2018) <doi:10.1111/rssa.12297>. Generate suggestions for occupational categories based on free text input, with pre-trained machine learning models in German and a ready-to-use shiny application provided for quick and easy data collection.

This package implements the "Smith-Pittman" community detection algorithm for network analysis using igraph objects. This algorithm combines node degree and betweenness centrality measures to identify communities within networks, with a gradient evident in social partitioning. The package provides functions for community detection, visualization, and analysis of the resulting community structure. Methods are based on results from Smith, Pittman and Xu (2024) <doi:10.48550/arXiv.2411.01394>.

Allows users to input their data, segmentation and function used for the segmentation (and additional arguments) and the package calculates the influence of the data on the changepoint locations, see Wilms et al. (2022) <doi:10.1080/10618600.2021.2000873>. Currently this can only be used with the changepoint package functions to identify changes, but we plan to extend this. There are options for different types of graphics to assess the influence.

MetaboLights is one of the main public repositories for storage of metabolomics experiments, which includes analysis results as well as raw data. The MsBackendMetaboLights package provides functionality to retrieve and represent mass spectrometry (MS) data from MetaboLights. Data files are downloaded and cached locally avoiding repetitive downloads. MS data from metabolomics experiments can thus be directly and seamlessly integrated into R-based analysis workflows with the Spectra and MsBackendMetaboLights package.