sample_data

A dataset containing results from meta-analysis of metabolomic studies

datasets

Combination of results for meta-analysis using significance
and effect size only. P-values and fold-change are combined to obtain
a global significance on each metabolite. Produces a volcano plot
summarising the relevant results from meta-analysis. Vote-counting
reports for metabolites. And explore plot to detect discrepancies
between studies at a first glance. Methodology is described in the
Llambrich et al. (2021) <doi:10.1093/bioinformatics/btab591>.

Maria Llambrich

amanida

Meta-Analysis for Non-Integral Data

Eudald Correig

Raquel Cumeras

sample_data function

A data frame with 143 rows and 6 variables:<dl>
<dt>id</dt>
<dd>Name of the compound under study</dd><dt>pvalue</dt>
<dd>P-value</dd><dt>foldchange</dt>
<dd>Fold-change</dd><dt>N</dt>
<dd>Number of samples of the compound</dd><dt>ref</dt>
<dd>References</dd><dt>trend</dt>
<dd>Trend: 1 (up), -1 (down) or 0 (none)</dd>
</dl>

Format

Example input data for the amanida function — sample_data

A data frame with 143 rows and 6 variables:<dl>
<dt>id</dt>
<dd>Name of the compound under study</dd>

<dt>pvalue</dt>
<dd>P-value</dd>

<dt>foldchange</dt>
<dd>Fold-change</dd>

<dt>N</dt>
<dd>Number of samples of the compound</dd>

<dt>ref</dt>
<dd>References</dd>

<dt>trend</dt>
<dd>Trend: 1 (up), -1 (down) or 0 (none)</dd>


</dl>

sample_data: Example input data for the amanida function

Description

Usage

Arguments

Format