consensusTreeInputs

A consensus tree of class <code><a rd-options="" href="/link/ConsensusTree?package=WGCNA&version=1.68" data-mini-rdoc="WGCNA::ConsensusTree">ConsensusTree</a></code>.

consensusTree

Logical; if <code>TRUE</code>, the function returns a flat character vector of inputs; otherwise, a list whose structure reflects 
the structure of <code>consensusTree</code>.

flatten

This function returns a flat vector or a structured list of elementary inputs to a given consensus tree, that is, inputs
that are not consensus trees themselves.

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

consensusTreeInputs function

A consensus tree of class <code><a rd-options='' href='ConsensusTree'>ConsensusTree</a></code>.

consensusTreeInputs: Get all elementary inputs in a consensus tree

Description

Usage

Arguments

Value

See Also