eNODAL: an experimentally guided nutriomics data clustering method to unravel complex drug-diet interactions
Xiangnan Xu, Alistair McNair Senior, David George Le Couteur, Victoria Carroll Cogger, David Raubenheimer, David Ernest James, Benjamin L. Parker, Stephen James Simpson, Samuel Müller, Jean Yee Hwa Yang
eNODAL is a clustering method for nutriomics data that integrates experimental design with unsupervised learning to identify interpretable clusters of omics features affected by drug-diet interactions.
Briefings in Bioinformatics · Nov 22, 2024Peer-reviewedBioinformatics