IntegrateData: Integrate data

Description Usage Arguments Value

Description

Integrates the data

Usage

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IntegrateData(anchorset, new.assay.name = "integrated",
  features = NULL, features.to.integrate = NULL, dims = 1:30,
  k.weight = 100, sd.weight = 1, sample.tree = NULL,
  preserve.order = FALSE, do.cpp = TRUE, eps = 0, verbose = TRUE)

Arguments

anchorset

Results from FindIntegrationAnchors

new.assay.name

Name for the new assay containing the integrated data

features

Vector of features to use when computing the PCA to determine the weights. Only set if you want a different set from those used in the anchor finding process

features.to.integrate

Vector of features to integrate. By default, will use the features used in anchor finding.

dims

Number of PCs to use in the weighting procedure

k.weight

Number of neighbors to consider when weighting

sd.weight

Controls the bandwidth of the Gaussian kernel for weighting

sample.tree

Specify the order of integration. If null, will compute automatically.

preserve.order

Integrate the objects in the order they were provided to FindAnchors

do.cpp

Run cpp code where applicable

eps

Error bound on the neighbor finding algorithm (from RANN)

verbose

Print progress bars and output

Value

Returns a Seurat object with a new integrated Assay


atakanekiz/Seurat3.0 documentation built on May 26, 2019, 2:33 a.m.