multiHiCcompare provides functions for joint normalization and difference detection in multiple Hi-C datasets. This extension of the original HiCcompare package now allows for Hi-C experiments with more than 2 groups and multiple samples per group. multiHiCcompare operates on processed Hi-C data in the form of sparse upper triangular matrices. It accepts four column (chromosome, region1, region2, IF) tab-separated text files storing chromatin interaction matrices. multiHiCcompare provides cyclic loess and fast loess (fastlo) methods adapted to jointly normalizing Hi-C data. Additionally, it provides a general linear model (GLM) framework adapting the edgeR package to detect differences in Hi-C data in a distance dependent manner.

This package provides a toolbox to train a single sample classifier that uses in-sample feature relationships. The relationships are represented as feature1 < feature2 (e.g. gene1 < gene2). We provide two options to go with. First is based on switchBox package which uses Top-score pairs algorithm. Second is a novel implementation based on random forest algorithm. For simple problems we recommend to use one-vs-rest using TSP option due to its simplicity and for being easy to interpret. For complex problems RF performs better. Both lines filter the features first then combine the filtered features to make the list of all the possible rules (i.e. rule1: feature1 < feature2, rule2: feature1 < feature3, etc...). Then the list of rules will be filtered and the most important and informative rules will be kept. The informative rules will be assembled in an one-vs-rest model or in an RF model. We provide a detailed description with each function in this package to explain the filtration and training methodology in each line. Reference: Marzouka & Eriksson (2021) <doi:10.1093/bioinformatics/btab088>.

This module provides utilities for multiplexing interactions with lists of Python objects.

MultiWriter can be used to write an ISO file to multiple USB devices at once.

The bundle offers a thesis class, based on memoir, that complies with Marquette University Graduate School requirements.

This package implements an algorithm for the spelling of enharmonics and dealing with ties and dots in rhythm notation.

This Common Lisp package offers an implementation of the 32-bit variant of MurmurHash3 (https://github.com/aappleby/smhasher), a fast non-crytographic hashing algorithm.

This package provides a decorator for adding multiple argument dispatching to functions. The decorator creates a multimethod object as needed and registers the function with its annotations.

murmurhash3 is a Python library for MurmurHash (MurmurHash3), a set of fast and robust hash functions. This library is a Python extension module written in C.

This is a Common Lisp library to change the capitalization and spacing of a string or a symbol. It can convert to and from Lisp, english, underscore and camel-case rules.

MutatorMath is a Python library for the calculation of piecewise linear interpolations in n-dimensions with any number of masters. It was developed for interpolating data related to fonts, but if can handle any arithmetic object.

This package provides tools to create a layout for figures made of multiple panels, and to fill the panels with base, lattice', ggplot2 and ComplexHeatmap plots, grobs, as well as content from all image formats supported by ImageMagick (accessed through magick').

Regression models can be fitted for multiple outcomes simultaneously. This package computes estimates of parameters across fitted models and returns the matrix of asymptotic covariance. Various applications of this package, including CUPED (Controlled Experiments Utilizing Pre-Experiment Data), multiple comparison adjustment, are illustrated.

Mutation-Simulator is a Python tool for simulating SNPs and SVs in any reference genome with cohesive documentation about implemented mutations. With Mutation-Simulator, the new file format RMT is introduced, which gives more simulation power to the user by creating an interface for more natural simulations within specific genomes. Mutation-Simulator provides 3 different modes to simulate SNPs, insertions, deletions, tandem duplications, inversions, translocations and interchromosomal translocations from the commandline or with highly configureable RMT files.

Documentation at https://melpa.org/#/mu4e-overview

Documentation at https://melpa.org/#/mark-multiple

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

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

Documentation at https://melpa.org/#/mustang-theme

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

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

Documentation at https://melpa.org/#/netease-music

Documentation at https://melpa.org/#/mustard-theme

This package provides a multi action button for usage in shiny applications.