Gene Relevance {destiny}R Documentation

Gene relevances for entire data set

Description

The relevance map is cached insided of the DiffusionMap.

Usage

gene_relevance(coords, exprs, ..., k = 20L, dims = 1:2, distance = NULL,
  verbose = FALSE)

## S4 method for signature 'DiffusionMap,missing'
gene_relevance(coords, exprs, ..., k = 20L,
  dims = 1:2, distance = NULL, verbose = FALSE)

## S4 method for signature 'matrix,matrix'
gene_relevance(coords, exprs, ..., k = 20L,
  dims = 1:2, distance = NULL, verbose = FALSE)

Arguments

coords

A DiffusionMap object or a cells \times dims matrix.

exprs

An cells \times genes matrix. Only provide if coords is no DiffusionMap.

...

If no DiffusionMap is provided, a vector of weights (of the same length as dims) can be provided.

k

Number of nearest neighbors to use

dims

Index into columns of coord

distance

Distance measure to use for the nearest neighbor search.

verbose

If TRUE, log additional info to the console

Value

A GeneRelevance object:

Slots

coords

A cells \times dims matrix of coordinates (e.g. diffusion components), reduced to the dimensions passed as dims

exprs

A cells \times genes matrix of expressions

partials

Array of partial derivatives wrt to considered dimensions in reduced space (genes \times cells \times dimensions)

partials_norm

Matrix with norm of aforementioned derivatives. (n\_genes \times cells)

nn_index

Matrix of k nearest neighbor indices. (cells \times k)

dims

Column index for plotted dimensions. Can character, numeric or logical

distance

Distance measure used in the nearest neighbor search. See find_knn

See Also

Gene Relevance methods, Gene Relevance plotting: plot_gradient_map/plot_gene_relevance

Examples

data(guo_norm)
dm <- DiffusionMap(guo_norm)
gr <- gene_relevance(dm)

m <- t(Biobase::exprs(guo_norm))
gr_pca <- gene_relevance(prcomp(m)$x, m)
# now plot them!
[Package destiny version 2.6.2 Index]