generate_input_accuracy_hpc: Generate input for accuracy function on HPC systems

In PatZeis/AssessMe: A cluster assessment tool for preprocessing and clustering optimization

Generate input for accuracy function on HPC systems

Description

helper function to generate input for accuracy function executed on a high performing computing cluster.

Usage

generate_input_accuracy_hpc(
  assessment,
  object = NULL,
  crossvali = NULL,
  assessment_no = NULL,
  rawdata = NULL,
  tosample = NULL
)

Arguments

assessment	assessment object from cluster_assessment function.
object	RaceID or Seurat object from which count data is derived. Default = NULL.
crossvali	n number of subsampling to be done for cross-validation(n fold crossvalidation). Default = NULL.
assessment_no	index of assessment object within a list of assessments. Default = NULL.
rawdata	count data. Default = NULL.
tosample	percentage of cells to sample for the training set, per default 70% are sampled. Default = NULL.

Examples

tes_generate <- generate_input_accuracy(assessment=assessment_input, object=giveobject, crossvali=csvali, assessment_no = assess_index, rawdata = raw, tosample=sample2 )

PatZeis/AssessMe documentation built on Nov. 19, 2022, 6:03 a.m.