PyNetCor: a high-performance Python package for large-scale correlation analysis.

ABSTRACT: The development of multi-omics technologies has generated an abundance of biological datasets, providing valuable resources for investigating potential relationships within complex biological systems. However, most correlation analysis tools face computational challenges when dealing with these high-dimensional datasets containing millions of features. Here, we introduce pyNetCor, a fast and scalable tool for constructing correlation networks on large-scale and high-dimensional data. PyNetCor features optimized algorithms for both full correlation coefficient matrix computation and top-k correlation search, outperforming other tools in the field in terms of runtime and memory consumption. It utilizes a linear interpolation strategy to rapidly estimate P-values and achieve false disc

SUBMITTER: Long S 

PROVIDER: S-EPMC11655297 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature