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perseus:user:activities:matrixprocessing:basic:columncorrelations

Column correlation

General

Brief description

Correlation coefficients are calculated between the specified columns of the matrix.

Output: A matrix containing the correlation coefficients.

Parameters

Type

Defines the measure of correlation that should be calculated between the selected columns (default: Pearson correlation). It can be selected from a list of correlation coefficients :

  • Log2(Absence-presence enrichment factor)
  • Absence-presence -Log10(p-value)
  • Numbers of valid pairs
  • Valid pairs percentage
  • Pearson correlation
  • -Log10(Pearson p-value)
  • -Log10(Pearson p-value) [correlation]
  • -Log10(Pearson p-value) [anti-correlation]
  • R squared
  • Spearman rank correlation
  • -Log10(Spearman p-value)
  • -Log10(Spearman p-value) [correlation]
  • -Log10(Spearman p-value) [anti-correlation]
  • Kendall rank correlation
  • Distance correlation
  • Mutual information
  • Euclidean distance
  • Manhattan distance
  • Maximum distance

Rows

Selected expression/numerical columns that will be the rows of the generated correlation matrix (default: all expression columns are selected).

Columns

Selected expression/numerical columns that will be the columns of the generated correlation matrix (default: all expression columns are selected).


Parameter window

Perseus pop-up window: Basic -> Column correlation

perseus/user/activities/matrixprocessing/basic/columncorrelations.txt · Last modified: 2015/11/23 14:47 (external edit)