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Published on: May 10, 2014
CCC-GPU: a graphics processing unit (GPU)-accelerated nonlinear correlation coefficient for large-scale
Haoyu Zhang1, Kevin Fotso2, Marc Subirana-Granés1
1Department of Biomedical Informatics, University of Colorado Anschutz, Aurora, Colorado, 80045, United States.
Motivation:
Identifying meaningful patterns in complex biological data necessitates correlation coefficients capable of capturing diverse relationship types beyond simple linearity. Furthermore, efficient computational tools are crucial for handling the ever-increasing scale of biological datasets.
Results:
We introduce CCC-GPU, a high-performance, GPU-accelerated implementation of the Clustermatch Correlation Coefficient (CCC). CCC-GPU computes correlation coefficients for mixed data types, effectively detects nonlinear relationships, and offers significant speed improvements over its predecessor.
Availability And Implementation:
The source code of CCC-GPU is openly available on GitHub (https://github.com/pivlab/ccc-gpu) and archived on Zenodo (https://doi.org/10.5281/zenodo.18310318), distributed under the BSD-2-Clause Plus Patent License.
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