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== Script-wise version == |
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library (geneplotter) |
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{{{ library (geneplotter) saveeps ("filename") savepng ("filename") }}} == Function-wise Version == {{{ f.Hclust_col_pc <- function ( expr.mx, title.ch) { f.distCol.Pearson <- function (expr.mx) # correlation among columns { dist.mx <- 1 - cor (expr.mx, method = "pearson") dist.dmx <- as.dist (dist.mx) return (dist.dmx) } x.hclust <- hclust (d = f.distCol.Pearson (expr.mx)) plot ( x.hclust, main = "", xlab = "1 - Pearson Correlation") } }}} [[attachment:Hclust_arrayCols_PearsCorr_01.R]] |
Hierrachical Clustering of Array Columns (Samples) using Pearson Correlation
Script-wise version
f.distCol.Pearson <- function (x.mx) # correlation among columns { dist.mx <- 1 - cor (x.mx, method = "pearson") dist.dmx <- as.dist (dist.mx) return (dist.dmx) } x.hclust <- hclust (d = f.distCol.Pearson (x.mx)) plot ( x.hclust, main = "", xlab = "1 - Pearson Correlation")
library (geneplotter) saveeps ("filename") savepng ("filename")
Function-wise Version
f.Hclust_col_pc <- function ( expr.mx, title.ch) { f.distCol.Pearson <- function (expr.mx) # correlation among columns { dist.mx <- 1 - cor (expr.mx, method = "pearson") dist.dmx <- as.dist (dist.mx) return (dist.dmx) } x.hclust <- hclust (d = f.distCol.Pearson (expr.mx)) plot ( x.hclust, main = "", xlab = "1 - Pearson Correlation") }