sumexp_to_df

Transforms a SummarizedExperiment into a data.frame which can be used as
input for other functions.

A toolkit for analyzing classifier performance by using receiver
operating characteristic (ROC) curves. Performance may be assessed on
a single classifier or multiple ones simultaneously, making it suitable for
comparisons. In addition, different metrics allow the evaluation of local
performance when working within restricted ranges of sensitivity and
specificity. For details on the different implementations, see
McClish D. K. (1989) <doi:10.1177/0272989X8900900307>,
Vivo J.-M., Franco M. and Vicari D. (2018) <doi:10.1007/S11634-017-0295-9>,
Jiang Y., et al (1996) <doi:10.1148/radiology.201.3.8939225>,
Franco M. and Vivo J.-M. (2021) <doi:10.3390/math9212826> and
Carrington, André M., et al (2020) <doi: 10.1186/s12911-019-1014-6>.

Pablo Navarro

ROCnGO

Fast Analysis of ROC Curves

Juana-María Vivo

Manuel Franco

sumexp_to_df function

<dl><dt>se</dt>
<dd>A SummarizedExperiment object.</dd>
<dt>.n</dt>
<dd>An integer or string, representing the index or name of the assay
to use. Same as <code>i</code> in <code>SummarizedExperiment::assay()</code> function.
By default, function combines every assay in <code>se</code> argument.</dd></dl>

Arguments

Transform data in a SummarizedExperiment to a data.frame — sumexp_to_df

<dl>

<dt>se</dt>
<dd>A SummarizedExperiment object.</dd>


<dt>.n</dt>
<dd>An integer or string, representing the index or name of the assay
to use. Same as <code>i</code> in <code>SummarizedExperiment::assay()</code> function.
By default, function combines every assay in <code>se</code> argument.</dd>

</dl>

sumexp_to_df: Transform data in a SummarizedExperiment to a data.frame

Description

Usage

Value

Arguments