NetConnectivity: Identify the informative genes in Data with top high...

In naikai/sake: Single-cell RNA-Seq Analysis and Klustering Evaluation

Identify the informative genes in Data with top high connectivity in the co-expression network

Description

Code is adapted and rewrote based on Wange et al, BMC Bioinformatics, 2014 'Improving the sensitivity of sample clustering by leveraging gene co-expression networks in variable selection'

Usage

NetConnectivity(data, thresh = "soft", tao = 0.7, beta = 1,
  method = "pearson", diag.zero = T)

Arguments

data	Input expression data
tao	threshold for hard transformation
beta	parameter for soft power transformation

Examples

NetConnectivity(mtcars, tao=0.5)

naikai/sake documentation built on Feb. 15, 2023, 11 p.m.