ExpPheno_Categorize: ExpPheno_Categorize is a function for grouping samples based...

In SIGN: Similarity Identification in Gene Expression

Description

ExpPheno_Categorize is a function for grouping samples based on their survival to 3 groups of poor, good, and intermediate

Usage

ExpPheno_Categorize(ExpMeta_List, Time_ID, Event_ID, Mad_Factor,
  MinNum_ExClass, Expression_Log2 = FALSE)

Arguments

ExpMeta_List	List containing expression matrix and metadata matrix
Time_ID	Index of time to death in metadata matrix
Event_ID	Index of event in metadata matrix
Mad_Factor	Threshold of mad in time to death values to determine poor survival group
MinNum_ExClass	Minimum number of samples that has to be kept in poor and good group (if number of samples is lower than this threhold, more samples will be addedd in order of survival)
Expression_Log2	Parameter for gene expsression value transformation to logarithmic scale (log2(expression value+1))

Value

List of expression matrices, and time to event as well as event for the patients within each category of poor, intermediate or good survival

SIGN documentation built on May 2, 2019, 11:05 a.m.