CV

The coefficient of variation (CV), also known as relative standard deviation (RSD), is a standardized measure of dispersion of a probability distribution.

For each group of data (e.g per plate), CVs are calculated for each selected subset (e.g. control wells of a plate).

Original	CV = sd(x[subset] / mean(x[subset]) * 100
Robust	CV = mad(x[subset] / median(x[subset]) * 100

Wikipedia: Coefficient of variation

Options

General Settings

Group wells by: Select the column to define the main groups (e.g. "barcode" for plate-wise CVs).
Select subset column / well annotation column: Select the column to define and select subsets (e.g. "treatment" for controls )
Subset selection available in tab "Subset Filter".
Use robust statistics: If checked median and MAD will be calculated instead of mean and standard deviation.
Calculate coefficient of variation for: Select the numeric columns for which CVs will be calculated.
Column suffix: By default result column names will get the suffix ".cv". If checked, this suffix can be changed or removed.

Subset Filter

: Include subsets the CV shall be calculated for. Missing values can be included via checkbox.

Input Ports

: Input Data

Output Ports

: Table with CVs

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Installation

To use this node in KNIME, install the extension KNIME HCS Tools from the below update site following our NodePit Product and Node Installation Guide:

v5.4

A zipped version of the software site can be downloaded here.

Plugin provider: Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG)

Plugin version: 5.4.0.v202412031157

On NodePit since: 2024-12-06

Last update: 2024-12-17

KNIME versions: v5.4, v5.3, v5.2, v5.1, v4.7, v4.6, v4.5, v4.4, v4.3, v4.2, v4.1, v4.0, v3.7

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CV