runSupervised_Harmony: Run supervised harmony integration

View source: R/SingleCell_Integration.R

runSupervised_HarmonyR Documentation

Run supervised harmony integration

Description

Run supervised harmony integration

Usage

runSupervised_Harmony(
  object,
  n.dims.use = 30,
  fGSEA.minSize = 10,
  fGSEA.maxSize = 500,
  fGSEA.eps = 0,
  fGSEA.nPermSimple = 1000,
  hcl.height.cutoff = 0.25,
  covariates = c("data_set"),
  harmony.sigma = 0.1,
  harmony.tau = 0,
  harmony.block.size = 0.05,
  harmony.max.iter = 10,
  harmony.max.iter.cluster = 20,
  harmony.epsilon.cluster = 1e-05,
  harmony.epsilon.harmony = 1e-04,
  n.seed = 1
)

Arguments

object

The SingCellaR object.

n.dims.use

The number of PCA dimensions used for the input for harmony. Default 30

fGSEA.minSize

The cutoff minimum number of genes in each gene set. Gene set that contains the number of genes lower than this number will be excluded. Default 10

fGSEA.maxSize

The cutoff maxiumum number of genes in each gene set. Gene set that contains the number of genes higher than this number will be excluded. Default 500

fGSEA.eps

The eps paramenter for fgsea, this parameter sets the boundary for calculating the p value. Default 0

fGSEA.nPermSimple

The number of permutations in the simple fgsea implementation for preliminary estimation of P-values.

hcl.height.cutoff

The cutree cutoff value for hierarchical clustering. Default 0.25

covariates

The unwanted source of variations (e.g. batch, sample_id, etc).

harmony.sigma

The harmony sigma parameter. Default 0.1

harmony.tau

The harmony tau parameter. Default 0

harmony.block.size

The harmony block.size parameter. Default 0.05

harmony.max.iter

The harmony max iteration parameter. Default 10

harmony.max.iter.cluster

The harmony max iteration cluster. Default 200

harmony.epsilon.cluster

The harmony epsilon.cluster parameter. Default 1e-05

harmony.epsilon.harmony

The harmony epsilon parameter. Default 1e-04

n.seed

The set seed number.


supatt-lab/SingCellaR documentation built on Aug. 24, 2023, 5:49 p.m.