cellCellDecomp {scTensor} | R Documentation

## Performing scTensor

### Description

All parameters is saved to metadata slot of SingleCellExperiment object.

### Usage

    cellCellDecomp(sce, algorithm=c("ntd2", "ntd", "nmf", "pearson",
        "spearman", "distance", "pearson.lr", "spearman.lr", "distance.lr",
        "pcomb", "label.permutation", "cabello.aguilar", "halpern"), ranks=c(3,3), rank=3, thr1=log2(5), thr2=25, verbose=FALSE,
        centering=TRUE, mergeas=c("mean", "sum"), outerfunc=c("*", "+"),
        comb=c("random", "all"), num.sampling=100, num.perm=1000, assayNames = "counts", decomp=TRUE)

### Arguments

`sce` | The object generated by instantization of SingleCellExperiment-class.
`algorithm` | Algorithm for constrcting cell-cell similarity matrix. "ntd2", "ntd", "nmf", "pearson", "spearman", "distance", "pearson.lr", "spearman.lr", "distance.lr", "pcomb" or "label.permutation" can be specified (Default: ntd2).
`ranks` | The size of the core tensor decomposed by NTD. Each element means (Number of Ligand-Cell Pattern, Number of Receptor-Cell Pattern, Number of LR-pairs Pattern) (Default: c(3,3)).
`rank` | The number of low dimension of NMF (Default: 3).
`thr1` | The threshold used by pcomb (Default: log2(5)).
`thr2` | The threshold used by pcomb (Default: 25).
`verbose` | The verbose parameter for nnTensor::NTD (Default: FALSE).
`centering` | When the value is TRUE, input matrix is summarized as celltype-level vectors (Default: TRUE).
`mergeas` | When the centering is TRUE, "sum" (celltype-level sum vector) or "mean" (celltype-level average vector) is calculated (Default: "sum").
`outerfunc` | When the centering is TRUE, "+" (Kronecker sum) or "*" (Kronecker product) is calculated (Default: "+").
`comb` | When the centering is FALSE, "random" (random cell-cell pairing) or "all" (all possible cell-cell pairing) is calculed (Default: "random").
`num.sampling` | The number of random sampling used (Default: 100).
`num.perm` | The number of the permutation in label permutation test (Default: 1000).
`assayNames` | The unit of gene expression for using scTensor (e.g. normcounts, cpm...etc) (Default: "counts").
`decomp` | When the value is TRUE, cell-cell interaction tensor is decomposed (Default: TRUE).

### Value

The result is saved to metadata slot of SingleCellExperiment object.

### Author(s)

Koki Tsuyuzaki

### See Also

`SingleCellExperiment`.

### Examples

    showMethods("cellCellDecomp")

[Package scTensor version 2.2.0 Index]