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MKomics (version 0.7)

Omics Data Analysis

Description

Similarity plots based on correlation and median absolute deviation (MAD); adjusting colors for heatmaps; aggregate technical replicates; calculate pairwise fold-changes and log fold-changes; compute one- and two-way ANOVA; simplified interface to package 'limma' (Ritchie et al. (2015), ) for moderated t-test and one-way ANOVA; Hamming and Levenshtein (edit) distance of strings as well as optimal alignment scores for global (Needleman-Wunsch) and local (Smith-Waterman) alignments with constant gap penalties (Merkl and Waack (2009), ISBN:978-3-527-32594-8).

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Version

Install

install.packages('MKomics')

Monthly Downloads

195

Version

0.7

License

LGPL-3

Maintainer

Matthias Kohl

Last Published

August 8th, 2021

Functions in MKomics (0.7)

pairwise.fc

Compute pairwise fold changes
pairwise.logfc

Compute pairwise log-fold changes
simPlot

Plot of a similarity matrix.
repMeans

Compute mean of replicated spots
traceBack

Function to trace back
twoWayAnova

A function for Analysis of Variance
madPlot

Plot of similarity matrix based on MAD
stringDist

Function to compute distances between strings
stringSim

Function to compute similarity scores between strings
madMatrix

Compute MAD between colums of a matrix or data.frame
pairwise.mod.t.test

Pairwise Moderated t-Tests
oneWayAnova

A function for Analysis of Variance
corPlot

Plot of similarity matrix based on correlation
heatmapCol

Generate colors for heatmaps
mod.oneway.test

Moderated 1-Way ANOVA
mod.t.test

Moderated t-Test
corDist

Correlation Distance Matrix Computation
MKomics-package

Omics Data Analysis.