ForkJoinPcc Algorithm for Computing the Pcc Matrix in Gene Co-Expression Networks

High-throughput microarrays contain a huge number of genes. Determining the relationships between all these genes is time-consuming computation. In this paper, authors provide parallel algorithm for finding Pearson’s correlation coefficient measured in Affymetrix microarrays. The main idea proposed algorithm, ForkJoinPcc, mimics well-known programming model: fork–join model. MATLAB APIs have been employed and evaluated on shared or distributed multiprocessing systems. Two performance metrics—the processing communication times—have used to assess ForkJoinPcc. experimental results reveal that ForkJoinPcc achieves substantial speedup cluster platform 62× compared with 3.8× multicore platform.