Postprocessing and univariate analysis of omics data


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Documentation for package ‘phenomis’ version 1.15.6

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phenomis-package Postprocessing and univariate analysis of omics data
clustering clustering
clustering-method clustering
correcting correcting
correcting-method correcting
filtering Filtering of the features (and/or samples) with a high proportion of NAs or a low variance
filtering-method Filtering of the features (and/or samples) with a high proportion of NAs or a low variance
gg_barplot Barplot with ggplot2
gg_boxplot Boxplot with ggplot2
gg_corplot Regression plot with ggplot2
gg_pie Pie with ggplot2
gg_volcanoplot Volcano plot with ggplot2
hypotesting Univariate hypothesis testing
hypotesting-method Univariate hypothesis testing
inspecting Inspecting
inspecting-method Inspecting
normalizing Normalization of the data matrix intensities
normalizing-method Normalization of the data matrix intensities
phenomis Postprocessing and univariate analysis of omics data
plot_hypotesting Displays the volcano plot and the individual box plots (respectively, dot plots) after a two group statistical test (respectively, a correlation test) has been performed on a 'SummarizedExperiment' object.
plot_hypotesting-method Displays the volcano plot and the individual box plots (respectively, dot plots) after a two group statistical test (respectively, a correlation test) has been performed on a 'SummarizedExperiment' object.
reading reading
reducing Grouping chemically redundant MS1 features
reducing-method Grouping chemically redundant MS1 features
transforming Transformation of the data matrix intensities
transforming-method Transformation of the data matrix intensities
vennplot Venn diagram with VennDiagram
writing Exporting a SummarizedExperiment (or MultiAssayExperiment) instance into (subfolders with) the 3 tabulated files 'dataMatrix.tsv', sampleMetadata.tsv', 'variableMetadata.tsv'
writing-method Exporting a SummarizedExperiment (or MultiAssayExperiment) instance into (subfolders with) the 3 tabulated files 'dataMatrix.tsv', sampleMetadata.tsv', 'variableMetadata.tsv'