runVectorFields: runVectorFields

In heilandd/SPATAwrappers: What the Package Does (One Line, Title Case)

runVectorFields

Description

The function computed teh vector direction of gene expression gradients along a given feature

Usage

runVectorFields(
  object,
  features,
  cut_off = NULL,
  normalize = T,
  smooth = T,
  smooth_span = NULL,
  dist.spot = 10,
  run.mcor = T,
  workers = 8,
  ram = 50
)

Arguments

object	SPATA2 object
features	Character value. Can be a numeric feature from the feature data, a gene or a pathway
cut_off	Numeric, cut off low expression spots
normalize	Normalize Values
smooth	Logical. If TRUE, a loess fit is used to smooth the values.
smooth_span	Numeric value. Controls the degree of smoothing. Given to argument span of stats::loess().
dist.spot	The distance for compute the vector (min is the distance of spots)
run.mcor	Logical, if TRUE use feature multicore
workers	Cores to use for multicore
ram	Numeric, GB of ram storage used for multicore

Author(s)

Dieter Henrik Heiland

heilandd/SPATAwrappers documentation built on Oct. 2, 2022, 1:40 p.m.