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

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

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

muon is a multimodal omics Python framework.

This is the VPN client software for the Mullvad VPN service.

Estimates gene expressions from several laser scans of the same microarray.

This package provides a graphical user interface for the MuToss Project.

FHCRC Genomics Shared Resource Mu15v1 Annotation Data (Mu15v1) assembled using data from public repositories.

FHCRC Genomics Shared Resource Mu22v3 Annotation Data (Mu22v3) assembled using data from public repositories.

Data package containing a multi-sample multi-group spatial dataset in SpatialExperiment Bioconductor object format.

MUMPS (MUltifrontal Massively Parallel sparse direct Solver) solves a sparse system of linear equations A x = b using Gaussian elimination.

This package performs genetic association tests between SNPs (one-at-a-time) and multiple phenotypes (separately or in joint model).

GNOME Music is the new GNOME music playing application that aims to combine an elegant and immersive browsing experience with simple and straightforward controls.

This is a Common Lisp implementation for the Mustache template system. More details on the standard are available at https://mustache.github.io.

This package provides a set of tools to permute multisets without loops or hash tables and to generate integer partitions. Cool-lex order is similar to colexicographical order.

Extracted features from pathways derived from 8 different databases (KEGG, Reactome, Biocarta, etc.) can be used on transcriptomic, proteomic, and/or metabolomic level to calculate a combined GSEA-based enrichment score.

This library implements an efficient loopless multiset combination generation algorithm which is (approximately) described in "Loopless algorithms for generating permutations, combinations, and other combinatorial configurations.", G. Ehrlich - Journal of the ACM (JACM), 1973. (Algorithm 7.)

Computes the third multivariate cumulant of either the raw, centered or standardized data. Computes the main measures of multivariate skewness, together with their bootstrap distributions. Finally, computes the least skewed linear projections of the data.

Analyze multilevel networks as described in Lazega et al (2008) <doi:10.1016/j.socnet.2008.02.001> and in Lazega and Snijders (2016, ISBN:978-3-319-24520-1). The package was developed essentially as an extension to igraph'.

Model fitting and simulation for Gaussian and logistic inner product MultiNeSS models for multiplex networks. The package implements a convex fitting algorithm with fully adaptive parameter tuning, including options for edge cross-validation. For more details see MacDonald et al. (2020).

Implementation of the methodology of Aleshin-Guendel & Sadinle (2022) <doi:10.1080/01621459.2021.2013242>. It handles the general problem of multifile record linkage and duplicate detection, where any number of files are to be linked, and any of the files may have duplicates.

Different examples and methods for testing (including different proposals described in Ameijeiras-Alonso et al., 2019 <DOI:10.1007/s11749-018-0611-5>) and exploring (including the mode tree, mode forest and SiZer) the number of modes using nonparametric techniques <DOI:10.18637/jss.v097.i09>.

Wrapper around the Unix join facility which is more efficient than the built-in R routine merge(). The package enables the joining of multiple files on disk at once. The files can be compressed and various filters can be deployed before joining. Compiles only under Unix.

Provides Emacs Lisp with a form of polymorphism by way of predicate dispatching. Methods consist of a dispatch function, and a series of branches. The dispatch function is applied to the arguments, and the result value is checked against the expectations of each branch to define which one to invoke.