ltop

Inverse logit transformation to obtain proportion representation from the
log fold change representation.

Ratios of count data such as obtained from RNA-seq are modelled
using Bayesian statistics to derive posteriors for effects sizes. This
approach is described in Erhard & Zimmer (2015) <doi:10.1093/nar/gkv696>
and Erhard (2018) <doi:10.1093/bioinformatics/bty471>.

Florian Erhard

Log Fold Change Distribution Tools for Working with Ratios of
Counts

ltop function

<dl><dt>l</dt>
<dd>Effect size in log2 fold change representation</dd></dl>

Arguments

Inverse logit transformation to obtain proportion representation from the
log fold change representation. — ltop

<dl>

<dt>l</dt>
<dd>Effect size in log2 fold change representation</dd>

</dl>

ltop: Inverse logit transformation to obtain proportion representation from the log fold change representation.

Description

Usage

Value

Arguments

See Also

Examples