pcitC | R Documentation |

Calculates the correlation matrix using PCIT algorithm

pcitC(cor, tolType)

`cor` |
A correlation matrix. |

`tolType` |
Type of tolerance (default: 'mean') given the 3 pairwise correlations
(see |

Correlation matrix resulted from PCIT algorithm.

(see `PCIT`

)

library(Matrix) # loading a simulated normalized data data('simNorm') # calculating the correlation matrix suppressWarnings(gene_corr <- cor(t(simNorm[1:30, ]))) gene_corr[is.na(gene_corr)] <- 0 # getting the PCIT correlation results for first 30 genes results <- pcitC(cor = Matrix(gene_corr, sparse = TRUE), tolType = 1)

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