HBICLOUDSolutions of Biological Data Analysis | Since 2021

Version: v1.0     Release Date: 2024.7.27     Last Update Date: 2024.7.27
Introduction: PCA is a statistical technique used to reduce the dimensionality of data while preserving as much variance as possible. In multi-omics studies, where data from different omics layers are integrated, PCA helps in identifying patterns and relationships between these layers. By transforming the original data into a set of uncorrelated principal components, PCA simplifies the complex data structure and allows researchers to visualize and interpret the underlying patterns more easily.