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r-music 1.0.0-2.f21fe67
Propagated dependencies: r-biobase@2.68.0 r-ggplot2@3.5.2 r-matrix@1.7-3 r-mcmcpack@1.7-1 r-nnls@1.6 r-singlecellexperiment@1.30.1 r-toast@1.22.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/xuranw/MuSiC
Licenses: GPL 3+
Synopsis: Multi-subject single cell deconvolution
Description:

MuSiC is a deconvolution method that utilizes cross-subject scRNA-seq to estimate cell type proportions in bulk RNA-seq data.

r-murty 0.3.1
Propagated dependencies: r-lpsolve@5.6.23 r-clue@0.3-66
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/arg0naut91/muRty
Licenses: Expat
Synopsis: Murty's Algorithm for k-Best Assignments
Description:

Calculates k-best solutions and costs for an assignment problem following the method outlined in Murty (1968) <doi:10.1287/opre.16.3.682>.

multiqc 1.14
Dependencies: python-click@8.1.7 python-coloredlogs@10.0 python-future@0.18.2 python-jinja2@3.1.2 python-lzstring@1.0.4 python-markdown@3.3.4 python-matplotlib@3.8.2 python-networkx@3.4.2 python-numpy@1.26.2 python-pyyaml@6.0.1 python-requests@2.31.0 python-rich@13.7.1 python-rich-click@1.6.1 python-setuptools@67.6.1 python-simplejson@3.17.6 python-spectra@0.0.11
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://multiqc.info
Licenses: GPL 3+
Synopsis: Aggregate bioinformatics analysis reports
Description:

MultiQC is a tool to aggregate bioinformatics results across many samples into a single report. It contains modules for a large number of common bioinformatics tools.

r-multe 1.1.0
Propagated dependencies: r-nnet@7.3-20
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/kolesarm/multe
Licenses: Expat
Synopsis: Multiple Treatment Effects Regression
Description:

This package implements contamination bias diagnostics and alternative estimators for regressions with multiple treatments. The implementation is based on Goldsmith-Pinkham, Hull, and Kolesár (2024) <doi:10.48550/arXiv.2106.05024>.

r-mumin 1.48.11
Propagated dependencies: r-insight@1.3.0 r-matrix@1.7-3 r-nlme@3.1-168
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://cran.r-project.org/package=MuMIn
Licenses: GPL 2
Synopsis: Multi-model inference
Description:

Tools for performing model selection and model averaging. Automated model selection through subsetting the maximum model, with optional constraints for model inclusion. Model parameter and prediction averaging based on model weights derived from information criteria (AICc and alike) or custom model weighting schemes.

r-muacz 2.1.0
Propagated dependencies: r-ggplot2@3.5.2 r-epidisplay@3.5.0.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MUACz
Licenses: GPL 3
Synopsis: Generate MUAC and BMI z-Scores and Percentiles for Children and Adolescents
Description:

Generates mid upper arm circumference (MUAC) and body mass index (BMI) for age z-scores and percentiles based on LMS method for children and adolescents up to 19 years that can be used to assess nutritional and health status and define risk of adverse health events.

r-muvr2 0.1.0
Propagated dependencies: r-ranger@0.17.0 r-randomforest@4.7-1.2 r-psych@2.5.3 r-proc@1.18.5 r-mgcv@1.9-3 r-magrittr@2.0.3 r-glmnet@4.1-8 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/MetaboComp/MUVR2
Licenses: GPL 3
Synopsis: Multivariate Methods with Unbiased Variable Selection
Description:

Predictive multivariate modelling for metabolomics. Types: Classification and regression. Methods: Partial Least Squares, Random Forest ans Elastic Net Data structures: Paired and unpaired Validation: repeated double cross-validation (Westerhuis et al. (2008)<doi:10.1007/s11306-007-0099-6>, Filzmoser et al. (2009)<doi:10.1002/cem.1225>) Variable selection: Performed internally, through tuning in the inner cross-validation loop.

r-mully 2.1.38
Propagated dependencies: r-rgl@1.3.18 r-randomcolor@1.1.0.1 r-igraph@2.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/frankkramer-lab/mully
Licenses: GPL 2+
Synopsis: Create, Modify and Visualize Multi-Layered Networks
Description:

Allows the user to create graphs with multiple layers. The user can also modify the layers, the nodes, and the edges. The graph can also be visualized. Zaynab Hammoud and Frank Kramer (2018) <doi:10.3390/genes9110519>. More about multilayered graphs and their usage can be found in our review paper: Zaynab Hammoud and Frank Kramer (2020) <doi:10.1186/s41044-020-00046-0>.

r-mulea 1.1.1
Propagated dependencies: r-tidyverse@2.0.0 r-tidygraph@1.3.1 r-tibble@3.2.1 r-stringi@1.8.7 r-scales@1.4.0 r-rlang@1.1.6 r-readr@2.1.5 r-rcpp@1.0.14 r-plyr@1.8.9 r-magrittr@2.0.3 r-ggraph@2.2.1 r-ggplot2@3.5.2 r-fgsea@1.34.0 r-dplyr@1.1.4 r-data-table@1.17.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/ELTEbioinformatics/mulea
Licenses: GPL 2
Synopsis: Enrichment Analysis Using Multiple Ontologies and False Discovery Rate
Description:

Background - Traditional gene set enrichment analyses are typically limited to a few ontologies and do not account for the interdependence of gene sets or terms, resulting in overcorrected p-values. To address these challenges, we introduce mulea, an R package offering comprehensive overrepresentation and functional enrichment analysis. Results - mulea employs a progressive empirical false discovery rate (eFDR) method, specifically designed for interconnected biological data, to accurately identify significant terms within diverse ontologies. mulea expands beyond traditional tools by incorporating a wide range of ontologies, encompassing Gene Ontology, pathways, regulatory elements, genomic locations, and protein domains. This flexibility enables researchers to tailor enrichment analysis to their specific questions, such as identifying enriched transcriptional regulators in gene expression data or overrepresented protein domains in protein sets. To facilitate seamless analysis, mulea provides gene sets (in standardised GMT format) for 27 model organisms, covering 22 ontology types from 16 databases and various identifiers resulting in almost 900 files. Additionally, the muleaData ExperimentData Bioconductor package simplifies access to these pre-defined ontologies. Finally, mulea's architecture allows for easy integration of user-defined ontologies, or GMT files from external sources (e.g., MSigDB or Enrichr), expanding its applicability across diverse research areas. Conclusions - mulea is distributed as a CRAN R package. It offers researchers a powerful and flexible toolkit for functional enrichment analysis, addressing limitations of traditional tools with its progressive eFDR and by supporting a variety of ontologies. Overall, mulea fosters the exploration of diverse biological questions across various model organisms.

muparser 2.2.5-2
Channel: guix
Location: gnu/packages/maths.scm (gnu packages maths)
Home page: http://muparser.beltoforion.de/
Licenses: Expat
Synopsis: Fast parser library for mathematical expressions
Description:

muParser is an extensible high performance math parser library. It is based on transforming an expression into a bytecode and precalculating constant parts of it.

r-mutoss 0.1-13
Propagated dependencies: r-multcomp@1.4-28 r-multtest@2.64.0 r-mvtnorm@1.3-3 r-plotrix@3.8-4
Channel: guix
Location: gnu/packages/bioconductor.scm (gnu packages bioconductor)
Home page: https://github.com/kornl/mutoss/
Licenses: GPL 2+ GPL 3+
Synopsis: Unified multiple testing procedures
Description:

This package is designed to ease the application and comparison of multiple hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods are standardized and usable by the accompanying mutossGUI package.

r-multdm 1.1.5
Propagated dependencies: r-mts@1.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://CRAN.R-project.org/package=multDM
Licenses: GPL 3
Synopsis: Multivariate Version of the Diebold-Mariano Test
Description:

Allows to perform the multivariate version of the Diebold-Mariano test for equal predictive ability of multiple forecast comparison. Main reference: Mariano, R.S., Preve, D. (2012) <doi:10.1016/j.jeconom.2012.01.014>.

r-muvicp 1.3.2
Propagated dependencies: r-sm@2.2-6.0 r-mass@7.3-65 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MuViCP
Licenses: GPL 3
Synopsis: MultiClass Visualizable Classification using Combination of Projections
Description:

An ensemble classifier for multiclass classification. This is a novel classifier that natively works as an ensemble. It projects data on a large number of matrices, and uses very simple classifiers on each of these projections. The results are then combined, ideally via Dempster-Shafer Calculus.

r-multeq 2.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MultEq
Licenses: GPL 2+ GPL 3+
Synopsis: Multiple Equivalence Tests and Simultaneous Confidence Intervals
Description:

Equivalence tests and related confidence intervals for the comparison of two treatments, simultaneously for one or many normally distributed, primary response variables (endpoints). The step-up procedure of Quan et al. (2001) is both applied for differences and extended to ratios of means. A related single-step procedure is also available.

r-mulgar 1.0.5
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.2.1 r-purrr@1.0.4 r-ggplot2@3.5.2 r-geozoo@0.5.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://dicook.github.io/mulgar/
Licenses: Expat
Synopsis: Functions for Pre-Processing Data for Multivariate Data Visualisation using Tours
Description:

This is a companion to the book Cook, D. and Laa, U. (2023) <https://dicook.github.io/mulgar_book/> "Interactively exploring high-dimensional data and models in R". by Cook and Laa. It contains useful functions for processing data in preparation for visualising with a tour. There are also several sample data sets.

r-mulset 1.0.0
Propagated dependencies: r-gtools@3.9.5 r-digest@0.6.37
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/LogIN-/mulset
Licenses: FSDG-compatible
Synopsis: Multiset Intersection Generator
Description:

Computes efficient data distributions from highly inconsistent datasets with many missing values using multi-set intersections. Based upon hash functions, mulset can quickly identify intersections from very large matrices of input vectors across columns and rows and thus provides scalable solution for dealing with missing values. Tomic et al. (2019) <doi:10.1101/545186>.

r-multis 0.6.2
Propagated dependencies: r-rmutil@1.1.10 r-rlang@1.1.6 r-reshape2@1.4.4 r-rcolorbrewer@1.1-3 r-powerlaw@1.0.0 r-plyr@1.8.9 r-ltm@1.2-0 r-igraph@2.1.4 r-ggplot2@3.5.2 r-foreach@1.5.2 r-dplyr@1.1.4 r-clvalid@0.7 r-clv@0.3-2.4 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MultIS
Licenses: LGPL 2.0+
Synopsis: Reconstruction of Clones from Integration Site Readouts and Visualization
Description:

This package provides tools necessary to reconstruct clonal affiliations from temporally and/or spatially separated measurements of viral integration sites. For this means it utilizes correlations present in the relative readouts of the integration sites. Furthermore, facilities for filtering of the data and visualization of different steps in the pipeline are provided with the package.

r-muscat 1.22.0
Propagated dependencies: r-biocparallel@1.42.0 r-blme@1.0-6 r-complexheatmap@2.24.0 r-data-table@1.17.4 r-deseq2@1.48.1 r-dplyr@1.1.4 r-edger@4.6.2 r-ggplot2@3.5.2 r-glmmtmb@1.1.11 r-limma@3.64.1 r-lme4@1.1-37 r-lmertest@3.1-3 r-matrix@1.7-3 r-matrixstats@1.5.0 r-progress@1.2.3 r-purrr@1.0.4 r-rlang@1.1.6 r-s4vectors@0.46.0 r-scales@1.4.0 r-scater@1.36.0 r-sctransform@0.4.2 r-scuttle@1.18.0 r-singlecellexperiment@1.30.1 r-summarizedexperiment@1.38.1 r-variancepartition@1.38.0 r-viridis@0.6.5
Channel: guix
Location: gnu/packages/bioconductor.scm (gnu packages bioconductor)
Home page: https://github.com/HelenaLC/muscat
Licenses: GPL 3
Synopsis: Multi-sample multi-group scRNA-seq data analysis tools
Description:

This package muscat provides various methods and visualization tools for DS(differential splicing) analysis in multi-sample, multi-group, multi-(cell-)subpopulation scRNA-seq data, including cell-level mixed models and methods based on aggregated "pseudobulk" data, as well as a flexible simulation platform that mimics both single and multi-sample scRNA-seq data.

muchsync 7
Dependencies: openssl@3.0.8 notmuch@0.39 sqlite@3.39.3 xapian@1.4.29
Channel: guix
Location: gnu/packages/mail.scm (gnu packages mail)
Home page: https://www.muchsync.org/
Licenses: GPL 2+
Synopsis: Synchronize notmuch mail across machines
Description:

Muchsync brings Notmuch to all of your computers by synchronizing your mail messages and Notmuch tags across machines. The protocol is heavily pipelined to work efficiently over high-latency networks such as mobile broadband. Muchsync supports arbitrary pairwise synchronization among replicas. A version-vector-based algorithm allows it to exchange only the minimum information necessary to bring replicas up to date regardless of which pairs have previously synchronized.

r-mulsem 1.0
Propagated dependencies: r-openmx@2.22.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/mikewlcheung/mulsem
Licenses: GPL 2+
Synopsis: Some Multivariate Analyses using Structural Equation Modeling
Description:

This package provides a set of functions for some multivariate analyses utilizing a structural equation modeling (SEM) approach through the OpenMx package. These analyses include canonical correlation analysis (CANCORR), redundancy analysis (RDA), and multivariate principal component regression (MPCR). It implements procedures discussed in Gu and Cheung (2023) <doi:10.1111/bmsp.12301>, Gu, Yung, and Cheung (2019) <doi:10.1080/00273171.2018.1512847>, and Gu et al. (2023) <doi:10.1080/00273171.2022.2141675>.

r-multid 1.0.0
Propagated dependencies: r-quantreg@6.1 r-proc@1.18.5 r-lmertest@3.1-3 r-lme4@1.1-37 r-lavaan@0.6-19 r-glmnet@4.1-8 r-ggpubr@0.6.0 r-ggplot2@3.5.2 r-emmeans@1.11.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multid
Licenses: GPL 3
Synopsis: Multivariate Difference Between Two Groups
Description:

Estimation of multivariate differences between two groups (e.g., multivariate sex differences) with regularized regression methods and predictive approach. See Lönnqvist & Ilmarinen (2021) <doi:10.1007/s11109-021-09681-2> and Ilmarinen et al. (2023) <doi:10.1177/08902070221088155>. Includes tools that help in understanding difference score reliability, predictions of difference score variables, conditional intra-class correlations, and heterogeneity of variance estimates. Package development was supported by the Academy of Finland research grant 338891.

multirun 1.1.3
Channel: sheepfold
Location: sheepfold/packages/docker.scm (sheepfold packages docker)
Home page: https://github.com/nicolas-van/multirun
Licenses: Expat
Synopsis: Minimalist init process designed for Docker
Description:

A simple Unix utility in C to run multiple commands concurrently.

  • A very light alternative to classic init processes or supervisord to run multiple services in the same Docker container.

  • Is dead-simple to use.

  • Can be run without root permissions.

  • Cleanly kills all the processes it starts, including their subprocesses.

  • Delegates the restart duty to the upper level.

  • Forwards stdout and stderr for proper logging with Docker or systemd.

qr_mumps 3.1
Dependencies: metis@5.1.0 openblas@0.3.29 perl@5.36.0 scotch32@7.0.7 openssh@10.0p1 wget@1.21.4
Propagated dependencies: starpu@1.3.11
Channel: guix-hpc
Location: cnrs/irit.scm (cnrs irit)
Home page: https://gitlab.com/qr_mumps/qr_mumps
Licenses: CeCILL
Synopsis: Sparse QR direct solver (experimental package for distributed memroy version)
Description:

qr_mumps is a software package for the solution of sparse, linear systems on multicore computers based on the QR factorization of the input matrix. Therefore, it is suited to solving sparse least-squares problems and to computing the minimum-norm solution of sparse, underdetermined problems. It can obviously be used for solving square problems in which case the stability provided by the use of orthogonal transformations comes at the cost of a higher operation count with respect to solvers based on, e.g., the LU factorization. qr_mumps supports real and complex, single or double precision arithmetic. This is an experimental version of the package for distributed memory.

musikcube 3.0.1
Dependencies: alsa-lib@1.2.11 boost@1.83.0 curl@8.6.0 ffmpeg@4.4.5 lame@3.100 libev@4.33 libgme@0.6.3 libmicrohttpd@1.0.1 libogg@1.3.5 libopenmpt@0.5.9 libvorbis@1.3.7 ncurses-with-tinfo@6.2.20210619 openssl@3.0.8 pipewire@1.4.5 pulseaudio@16.1 taglib@1.12 zlib@1.3
Channel: guix
Location: gnu/packages/music.scm (gnu packages music)
Home page: https://musikcube.com/
Licenses: Modified BSD
Synopsis: Terminal-based music player, library, and streaming audio server
Description:

Musikcube is a terminal-based music player, library, and streaming audio server.

Total results: 491