Description Usage Arguments Value Author(s) References Examples
Given a correlation matrix the PCIT algorithm (Reverter & Chan 2008) is applied to identify significant correlations. If a parallel environment running Rmpi is detected, a parallel implementation will be run unless force.serial=TRUE
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m |
- A correlation matrix. |
force.serial |
- A boolean to indicate if the serial implementation of PCIT should be forced. |
force.parallel |
- A boolean to indicate if the parallel implementation of PCIT should be forced. |
nslaves |
- The number of slaves to spawn. By default, as many slaves as possible are spawned. UNTESTED OPTION. |
verbose |
- A boolean to indicate if verbose output should be used. |
tol.type |
- The type of tolerance measure to be used in PCIT. Current options are "mean", "min" and "max". |
pass.type |
- The type of approach used to pass the correlation matrix from the master CPU to the slave CPUs. Current options are "file", "memory" and "db". |
Linear indices are returned for those correlations found to be significant.
Nathan S. Watson-Haigh
Reverter, A. & Chan, E.K., 2008. Combining partial correlation and an information theory approach to the reversed-engineering of gene co-expression networks. Bioinformatics, btn482.
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