tnsStratification: Sample stratification for a TNS object
In RTNsurvival: Survival analysis using transcriptional networks inferred by the RTN package

Internal function, used for sample stratification.

tnsStratification(
  tns,
  sections = 1,
  center = FALSE,
  undetermined.status = TRUE
)

`tns`	a TNS object, which must have passed GSEA2 analysis.
`sections`	A numeric value for the stratification of the sample. The larger the number, the more subdivisions will be created for the Kaplan-Meier analysis.
`center`	a logical value. If TRUE, numbers assigned to each group is centralized on regulon activity scale.
`undetermined.status`	a logical value. If TRUE, regulons assigned as 'undetermined' will form a group.

An updated TNS object.

1	# see tnsKM method.

RTNsurvival documentation built on Nov. 12, 2020, 2 a.m.

RTNsurvival index

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