CCC-GPU: A graphics processing unit (GPU)-optimized nonlinear correlation coefficient for large transcriptomic analyses
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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 non-linear relationships, and offers significant speed improvements over its predecessor.
Availability and Implementation
CCC-GPU is openly available on GitHub ( https://github.com/pivlab/ccc-gpu ) and distributed under the BSD-2-Clause Plus Patent License.
