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CCC-GPU: A graphics processing unit (GPU)-optimized nonlinear correlation coefficient for large transcriptomic analyses

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June 12, 2025

Abstract

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.

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