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SARP.compo (version 0.1.5)

Network-Based Interpretation of Changes in Compositional Data

Description

Provides a set of functions to interpret changes in compositional data based on a network representation of all pairwise ratio comparisons: computation of all pairwise ratio, construction of a p-value matrix of all pairwise tests of these ratios between conditions, conversion of this matrix to a network.

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Version

Install

install.packages('SARP.compo')

Monthly Downloads

245

Version

0.1.5

License

Artistic-2.0

Maintainer

Emmanuel Curis

Last Published

May 15th, 2021

Functions in SARP.compo (0.1.5)

Create a graph using a set of p-values from pairwise tests

Simulate the distribution of maximal minimal distances in a random graph

Cut-off selection by simulations

Create p-values matrix from pairwise tests of all possible ratios of a compositional vector

creer_data.frame

Create p-values data-frame from pairwise tests of all possible ratios of a compositional vector

Convert between matrix and data-frame format

Circadian Genes Expression in Bipolar Disorder Patients

Finding cut-offs for graph disjonctions

choisir.seuil.equiv

Cut-off selection by simulations, in the context of equivalence tests

Effect of MDMA and SCH23390 on gene expression

Estimate the power and the type-I error of the disjoint-subgraphs method

Expression level of candidate reference genes

Utility functions to obtain p-values from tests on individual ratios

Compute all pairwise ratios of a set of variables

Gene expression change in bipolar disorder

Create and read a file of p-values for all pairwise tests of all possible ratios of a compositional vector

Composition of Roman poteries

Create a compositional model for simulations

Utility function to obtain p-value for equivalence tests on individual ratios

Grouping composants by changes in cut-off separation