Related Experiment Video
Updated: Jun 13, 2025
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
Published on: November 10, 2023
CCC-GPU: A graphics processing unit (GPU)-accelerated nonlinear correlation coefficient for large-scale
Haoyu Zhang1, Kevin Fotso2, Milton Pividori1
1Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
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:
CCC-GPU is openly available on GitHub (https://github.com/pivlab/ccc-gpu) and distributed under the BSD-2-Clause Plus Patent License.
Related Concept Videos
02:26Comparing Copy Number Variations and SNPs
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
02:07Improving Translational Accuracy
01:12Coefficient of Correlation
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
01:11Calculating and Interpreting the Linear Correlation Coefficient
01:11Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
02:24Ribosome Profiling
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...