Bayesian density estimates for univariate continuous random samples are provided using the Bayesian inference engine paradigm. The engine options are: Hamiltonian Monte Carlo, the no U-turn sampler, semiparametric mean field variational Bayes and slice sampling. The methodology is described in Wand and Yu (2020), arXiv:2009.06182.

This package adductomicsR processes data generated by the second stage of mass spectrometry (MS2) to identify potentially adducted peptides from spectra that has been corrected for mass drift and retention time drift and quantifies level mass spectral peaks from first stage of mass spectrometry (MS1) data.

This package manages rda files of multiple ontologies that are used in the ontoProc package. These ontologies were originally downloaded as owl or obo files and converted into Rda files. The files were downloaded at various times but most of them were downloaded on August 08 2022.

This package provides a post hoc cell type classification tool to fine-tune cell type annotations generated by any cell type classification procedure with semi-supervised learning algorithm AdaSampling technique. The current version of scReClassify supports Support Vector Machine and Random Forest as a base classifier.

Bioconductor has a rich ecosystem of metadata around packages, usage, and build status. This package is a simple collection of functions to access that metadata from R. The goal is to expose metadata for data mining and value-added functionality such as package searching, text mining, and analytics on packages.

A workflow is a combination of a model and preprocessors (e.g, a formula, recipe, etc.). In order to try different combinations of these, an object can be created that contains many workflows. There are functions to create workflows en masse as well as training them and visualizing the results.

This is a package for saving SummarizedExperiments into file artifacts, and loading them back into memory. This is a more portable alternative to serialization of such objects into RDS files. Each artifact is associated with metadata for further interpretation; downstream applications can enrich this metadata with context-specific properties.

This package provides a number of utility functions for handling single-cell RNA-seq data from droplet technologies such as 10X Genomics. This includes data loading from count matrices or molecule information files, identification of cells from empty droplets, removal of barcode-swapped pseudo-cells, and downsampling of the count matrix.

This package provides an implementation of the BRGE's (Bioinformatic Research Group in Epidemiology from Center for Research in Environmental Epidemiology) MultiDataSet and ResultSet. MultiDataSet is designed for integrating multi omics data sets and ResultSet is a container for omics results. This package contains base classes for MEAL and rexposome packages.

Using spatial or bulk gene expression data, estimates abundance of mixed cell types within each observation. Based on "Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data", Danaher (2022). Designed for use with the NanoString GeoMx platform, but applicable to any gene expression data.

This package is developed for facilitating parallel computing in R. It is capable to create an R object in the shared memory space and share the data across multiple R processes. It avoids the overhead of memory dulplication and data transfer, which make sharing big data object across many clusters possible.

Emacs Org Roam is a solution for taking non-hierarchical notes with Org mode. Notes are captured without hierarchy and are connected by tags. Notes can be found and created quickly. Org Roam should also work as a plug-and-play solution for anyone already using Org mode for their personal wiki.

Emacs Org Roam is a solution for taking non-hierarchical notes with Org mode. Notes are captured without hierarchy and are connected by tags. Notes can be found and created quickly. Org Roam should also work as a plug-and-play solution for anyone already using Org mode for their personal wiki.

The pip-run command provides on-demand temporary package installation for a single interpreter run. It replaces this series of commands:

$ virtualenv --python pythonX.X --system-site-packages /tmp/env
$ /tmp/env/bin/pip install pkg1 pkg2 -r reqs.txt
$ /tmp/env/bin/python ...
$ rm -rf /tmp/env

MetaboSignal is an R package that allows merging, analyzing and customizing metabolic and signaling KEGG pathways. It is a network-based approach designed to explore the topological relationship between genes (signaling- or enzymatic-genes) and metabolites, representing a powerful tool to investigate the genetic landscape and regulatory networks of metabolic phenotypes.

NormalyzerDE provides screening of normalization methods for LC-MS based expression data. It calculates a range of normalized matrices using both existing approaches and a novel time-segmented approach, calculates performance measures and generates an evaluation report. Furthermore, it provides an easy utility for Limma- or ANOVA- based differential expression analysis.

This package provides functions for differential chromatin interaction analysis between two single-cell Hi-C data groups. It includes tools for imputation, normalization, and differential analysis of chromatin interactions. The package implements pooling techniques for imputation and offers methods to normalize and test for differential interactions across single-cell Hi-C datasets.

The package contains local copy of the Synaptic proteome database. On top of this it provide a set of utility R functions to query and analyse its content. It allows extraction of information for specific genes and building the protein-protein interaction graph for gene sets, synaptic compartments, and brain regions.

Emacs Org Roam is a solution for taking non-hierarchical notes with Org mode. Notes are captured without hierarchy and are connected by tags. Notes can be found and created quickly. Org Roam should also work as a plug-and-play solution for anyone already using Org mode for their personal wiki.

This package implements the gene expression anti-profiles method. Anti-profiles are a new approach for developing cancer genomic signatures that specifically take advantage of gene expression heterogeneity. They explicitly model increased gene expression variability in cancer to define robust and reproducible gene expression signatures capable of accurately distinguishing tumor samples from healthy controls.

scheme-json-rpc allows calling procedures on remote servers by exchanging JSON objects. It implements the https://www.jsonrpc.org/specification. The low-level API strives to be R7RS compliant, relying on some SRFI's when needed. So far it was only tested under CHICKEN 5 and Guile 3.

Guile is the GNU Ubiquitous Intelligent Language for Extensions, the official extension language of the GNU system. It is an implementation of the Scheme language which can be easily embedded in other applications to provide a convenient means of extending the functionality of the application without requiring the source code to be rewritten.

This package provides a framework for the visualization of genome coverage profiles. It can be used for ChIP-seq experiments, but it can be also used for genome-wide nucleosome positioning experiments or other experiment types where it is important to have a framework in order to inspect how the coverage distributed across the genome.

This package provides several layout algorithms to visualize networks which are not part of the igraph library. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms emphasize hidden group structures in networks or focus on specific nodes.