SPRINT Beta 3
The main change in SPRINT beta 0.3.0 is the addition of a clustering function to the SPRINT library of parallelized statistical R functions. It performs a Parallel Partitioning Around Medoids (PPAM) and is based on the pam() function from the cluster R package.
In addition, the implementation of the SPRINT pcor() function which performs the Pearson correlation in parallel has been extended to allow the correlation between two matrices.
The SPRINT function library contains four functions:
- ppam(): a clustering Partition Around Medoid function
- pmaxT(): a permutation test function
- pcor(): a Pearson correlation function
- ptest(): a simple 'Hello World!' function
The graph below was obtained on the UK National Supercomputing Service, HECToR, using up to 64 cores for dividing a dataset with 22,374 genes into 12 clusters.