computeChebyshevCoeffs

internal

Core utilities for single-cell RNA-seq data analysis. Contained within are utility functions for working with differential expression (DE) matrices and count matrices, a collection of functions for manipulating and plotting data via 'ggplot2', and functions to work with cell graphs and cell embeddings. Graph-based methods include embedding kNN cell graphs into a UMAP <doi:10.21105/joss.00861>, collapsing vertices of each cluster in the graph, and propagating graph labels.

Evan Biederstedt

sccore

Core Utilities for Single-Cell RNA-Seq

Viktor Petukhov

Rasmus Rydbirk

Peter Kharchenko

computeChebyshevCoeffs function

<dl><dt>filt</dt>
<dd>graph filter function</dd>
<dt>l.max</dt>
<dd>Maximum eigenvalue of the graph</dd>
<dt>m</dt>
<dd>numeric Maximum order of Chebyshev coeff to compute (default=30)</dd>
<dt>n</dt>
<dd>numeric grid order used to compute quadrature (default=m+1)</dd></dl>

Arguments

Compute Chebyshev Coefficients — computeChebyshevCoeffs

<dl>

<dt>filt</dt>
<dd>graph filter function</dd>


<dt>l.max</dt>
<dd>Maximum eigenvalue of the graph</dd>


<dt>m</dt>
<dd>numeric Maximum order of Chebyshev coeff to compute (default=30)</dd>


<dt>n</dt>
<dd>numeric grid order used to compute quadrature (default=m+1)</dd>

</dl>

Compute Chebyshev Coefficients

computeChebyshevCoeffs: Compute Chebyshev Coefficients

Description

Usage

Value

Arguments

See Also