MIcondition: Modules detection by each condition

Description Usage Arguments Value Author(s)

Description

Module detection on each condition-specific network, which is constructed from all samples but samples belonging to that condition

Usage

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MIcondition(datExpr, conditionNames, ResultFolder, GeneNames, maxsize = 100,
  minsize = 30)

Arguments

datExpr

gene expression profile, rows are samples and columns genes, rowname should contain condition specifier

conditionNames

character vector, each as the condition name

ResultFolder

where to store the clusters

GeneNames

normally the gene official names to replace the colnames of datExpr

maxsize

the maximal nodes allowed in one module

minsize

the minimal nodes allowed in one module

Value

a numeric vector, each entry is the number of modules in condition-specific network

Author(s)

Dong Li, dxl466@cs.bham.ac.uk


fairmiracle/MODA documentation built on May 16, 2019, 9:59 a.m.