Corr_Random: Corr_Random Split the large-scale single-cell data and...

In dengchunyu/scPagwas: A pathway-based polygenic integration method for inferring disease-associated individual cells in single cell sequencing data

Corr_Random Split the large-scale single-cell data and perform random computations of correlation. Multiple iterations of random computations ensure the accuracy of the results.

Description

Corr_Random Split the large-scale single-cell data and perform random computations of correlation. Multiple iterations of random computations ensure the accuracy of the results.

Usage

Corr_Random(
  data_mat,
  scPagwas.gPAS.score,
  seed = 1234,
  random = T,
  Nrandom = 5,
  Nselect = 10000
)

Arguments

data_mat	the expression matrix for single cell.
scPagwas.gPAS.score	the gPas score for scPagwas
seed	random seed.
random	whether to random, default is TRUE.
Nrandom	the number of random.
Nselect	the number of single cells for each random.

dengchunyu/scPagwas documentation built on Nov. 29, 2024, 2:53 p.m.