Close
MIDAS Network Member

Paper Information

Title

Integrative clustering methods for multi-omics data.

Abstract

based on when and how the multi-omics data are processed for clustering. We further classified the methods into different approaches under each category based on the main statistical strategy used during clustering. In addition, we have provided recommended practices tailored to four real-life scenarios to help researchers to strategize their selection in integrative multi-omics clustering methods for their future studies.

Journal

Wiley interdisciplinary reviews. Computational statistics

Citation

MIDAS Authors