keepCommonProbes

expression data in the multi-set format (see <code><a rd-options="" href="/link/checkSets?package=WGCNA&version=1.68" data-mini-rdoc="WGCNA::checkSets">checkSets</a></code>). A vector of
lists, one per set. Each set must contain a component <code>data</code> that contains the expression data, with
rows corresponding to samples and columns to genes or probes.

multiExpr

index of the set by which probes are to be ordered.

orderBy

This function strips out probes that are not shared by all given data sets, and orders the remaining
common probes using the same order in all sets.

 misc 

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.

Peter Langfelder

WGCNA

Weighted Correlation Network Analysis

keepCommonProbes function

expression data in the multi-set format (see <code><a rd-options='' href='checkSets'>checkSets</a></code>). A vector of
lists, one per set. Each set must contain a component <code>data</code> that contains the expression data, with
rows corresponding to samples and columns to genes or probes.

keepCommonProbes: Keep probes that are shared among given data sets

Description

Usage

Arguments

Value

See Also