chmAddReducedDim: Add reduced dimension coordinates to an NG-CHM.

In MD-Anderson-Bioinformatics/NGCHM-R: Next Generation Clustered Heat Maps

Add reduced dimension coordinates to an NG-CHM.

Description

Add (reduced) dimension coordinates from an object obj as hidden covariate bars to an axis of an NG-CHM. Depending on the object type, dimName and dimAxis can be used to specify the name of the dimension of interest in obj.

Usage

chmAddReducedDim(hm, axis, obj, dimName, maxDim, basename, dimAxis)

Arguments

hm	The NGCHM to add the coordinates to.
axis	The NGCHM axis ("row" or "column") to add the coordinates to.
obj	An object containing the (reduced) dimension.
dimName	The name of the (reduced) dimension to create covariate bars for.
maxDim	The maximum number of coordinates to add (default all).
basename	The prefix to use for the coordinate names (defaults to dimName).
dimAxis	The axis on obj containing the named dimension, if applicable.

Details

One hidden covariate bar is added for each coordinate obtained from obj. If specified, maxDim limits the maximum number of covariate bars added to the chm.

Coordinates have names 'BASENAME.coordinate.N', where BASENAME is specified by the parameter basename (defaults to dimName if omitted) and N ranges from 1 to the number of added covariate bars.

obj can be a numeric matrix, each column of which is a (reduced) dimension. In this case, dimName and dimAxis are not used for obtaining the reduced dimension. The number of rows of the matrix must equal the size of the specified NGCHM axis and each row of the matrix must be uniquely named using the names from that axis of the NG-CHM.

obj can also be an instance of class className if there exists an S3 method getDimensions.className. The method takes the object as its first parameter and up to two optional parameters, dimName and dimAxis, that can be used to specify the desired dimension. The method's return value is a matrix similar to the one described in the preceding paragraph. This package defines methods for classes prcomp and umap.

Value

The NGCHM with added coordinates.

See Also

chmAddPCA()

chmAddTSNE()

chmAddUMAP()

chmAddUWOT()

getDimensions()

Examples

# Examples using `chmNew()` require git to be installed.
## Not run: 
  if (requireNamespace("NGCHMDemoData", quietly = TRUE)) {
    data(TCGA.GBM.EXPR, package = "NGCHMDemoData")
    mat <- TCGA.GBM.EXPR[1:10, 1:10]
    prc <- prcomp(mat)
    hm <- chmNew("Demo reduced dimension coordinates", mat)
    hm <- chmAddReducedDim(hm, "column", prc, "PCA", 3, "PC")
    umc <- umap::umap(t(mat), n_neighbors = 8)
    hm <- chmAddReducedDim(hm, "column", umc, "UMAP")
  }
  # Small example not requiring NGCHMDemoData
  matrix <- matrix(rnorm(100),
    nrow = 10, ncol = 10,
    dimnames = list(paste0("r", 1:10), paste0("c", 1:10))
  )
  prc <- prcomp(matrix)
  hm <- chmNew("Demo reduced dimension coordinates", matrix)
  hm <- chmAddReducedDim(hm, "column", prc, "PCA", 3, "PC")
  umc <- umap::umap(t(matrix), n_neighbors = 8)
  hm <- chmAddReducedDim(hm, "column", umc, "UMAP")

## End(Not run)

MD-Anderson-Bioinformatics/NGCHM-R documentation built on April 1, 2024, 12:34 p.m.