pca_projection_R

Provides an implementation of the framework of reversed graph embedding (RGE) which projects data into a reduced dimensional space while constructs a principal tree which passes through the middle of the data simultaneously. DDRTree shows superiority to alternatives (Wishbone, DPT) for inferring the ordering as well as the intrinsic structure of the single cell genomics data. In general, it could be used to reconstruct the temporal progression as well as bifurcation structure of any datatype.

Brent Ewing

DDRTree

Learning Principal Graphs with DDRTree

Xiaojie Qiu

Cole Trapnell

Qi Mao

Li Wang

pca_projection_R function

<dl><dt>C</dt>
<dd>data matrix used for PCA projection</dd>
<dt>L</dt>
<dd>number for the top principal components</dd></dl>

Arguments

Compute the PCA projection — pca_projection_R

<dl>

<dt>C</dt>
<dd>data matrix used for PCA projection</dd>


<dt>L</dt>
<dd>number for the top principal components</dd>

</dl>

Compute the PCA projection

pca_projection_R: Compute the PCA projection

Description

Usage

Arguments