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DESCRIPTION
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Package: ALDEx2
Type: Package
Title: Analysis Of Differential Abundance Taking Sample and Scale Variation Into Account
Version: 1.35.0
Date: 2023-02-09
Author: Greg Gloor, Andrew Fernandes, Jean Macklaim, Arianne Albert, Matt Links,
Thomas Quinn, Jia Rong Wu, Ruth Grace Wong, Brandon Lieng, Michelle Nixon
Maintainer: Greg Gloor <ggloor@uwo.ca>
biocViews: DifferentialExpression, RNASeq, Transcriptomics, GeneExpression, DNASeq,
ChIPSeq, Bayesian, Sequencing, Software, Microbiome, Metagenomics,
ImmunoOncology, Scale simulation, Posterior p-value
Description: A differential abundance analysis for the comparison of two or more
conditions. Useful for analyzing data from standard RNA-seq or meta-RNA-seq assays
as well as selected and unselected values from in-vitro sequence selections.
Uses a Dirichlet-multinomial model to infer abundance from counts, optimized for
three or more experimental replicates. The method infers biological and sampling
variation to calculate the expected false discovery rate, given the variation, based
on a Wilcoxon Rank Sum test and Welch's t-test (via aldex.ttest), a Kruskal-Wallis test
(via aldex.kw), a generalized linear model (via aldex.glm), or a correlation test
(via aldex.corr). All tests report predicted p-values and posterior
Benjamini-Hochberg corrected p-values. ALDEx2 also calculates expected standardized
effect sizes for paired or unpaired study designs. ALDEx2 can now be used to estimate
the effect of scale on the results and report on the scale-dependent robustness of
results.
License: GPL (>=3)
URL: https://github.com/ggloor/ALDEx_bioc
BugReports: https://github.com/ggloor/ALDEx_bioc/issues
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Depends:
methods,
stats,
zCompositions,
lattice,
latticeExtra
Imports:
Rfast,
BiocParallel,
GenomicRanges,
IRanges,
S4Vectors,
SummarizedExperiment,
multtest,
directlabels
Suggests:
testthat,
BiocStyle,
knitr,
rmarkdown,
purrr,
ggpattern,
ggplot2,
cowplot,
tidyverse,
magick
Remotes:
coolbutuseless/ggpattern