Inverse normal transformation

Inverse Normal Transformation

INTs are ways of transforming the sample distribution of a continuous variable to make it appear more normally distributed.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2921808/

생존분석 coxph

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815555/

예제

expression=c(rnorm(100,mean=100,sd=10),rnorm(100,mean=10,sd=1))

plot(density(expression))

rnk=rank(expression, na.last="keep")

expressio2=round(qnorm((rnk-0.5)/sum(!is.na(expression))), digit=5)

plot(density(expressio2))

z_score=round(unlist(scale(expression,center = T,scale = T)),5)

plot(density(z_score))