findConvergenceIter

Find out at which iteration the results converge, i.e. the mean results are stable.

Tools to construct (or add to) cell-type signature matrices using flow sorted or single cell samples and deconvolve bulk gene expression data.
Useful for assessing the quality of single cell RNAseq experiments, estimating the accuracy of signature matrices, and determining cell-type spillover.
Please cite: Danziger SA et al. (2019) ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific cells <doi:10.1371/journal.pone.0224693>.

Samuel Danziger

ADAPTS

Automated Deconvolution Augmentation of Profiles for Tissue
Specific Cells

findConvergenceIter function

<dl><dt>curSeq</dt>
<dd>A sequence of results that generated from each iteration of the loop</dd>
<dt>changePer</dt>
<dd>The maximum percentage of change allowed</dd>
<dt>winSize</dt>
<dd>The window size for mean calculation</dd></dl>

Arguments

Find out at which iteration the results converge, i.e. the mean results are stable. — findConvergenceIter

<dl>

<dt>curSeq</dt>
<dd>A sequence of results that generated from each iteration of the loop</dd>


<dt>changePer</dt>
<dd>The maximum percentage of change allowed</dd>


<dt>winSize</dt>
<dd>The window size for mean calculation</dd>

</dl>

findConvergenceIter: Find out at which iteration the results converge, i.e. the mean results are stable.

Description

Usage

Value

Arguments