Column Correlations
1 General
- Type: - Matrix Processing
- Heading: - Basic (Processing)
- Source code: not public.
2 Brief description
Correlation coefficients are calculated between the specified columns of the matrix.
Output: A matrix containing the correlation coefficients.
3 Parameters
3.1 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
3.2 Rows
Selected expression/numerical columns that will be the rows of the generated correlation matrix (default: all expression columns are selected).
3.3 Columns
Selected expression/numerical columns that will be the columns of the generated correlation matrix (default: all expression columns are selected).
4 Parameter window
