Toward ordered -omics data science: Researchers on the magic of turning metagenomic chaos into image-like patterns
Published in Patterns, 2022
Recommended citation: Shen W X, Chen Y Z. Toward ordered-omics data science: Researchers on the magic of turning metagenomic chaos into image-like patterns[J]. Patterns, 2023, 4(1): 100673. https://www.cell.com/patterns/fulltext/S2666-3899(22)00320-8
PEOPLE OF DATA
Wan Xiang Shen, a postdoctoral researcher at National University of Singapore, and Yu Zong Chen, the PI of the Bioinformatics and Drug Design (BIDD) group, have developed an AI pipeline for enhanced deep learning of metagenomic data. Their Patterns paper highlights the advantages of unsupervised data restructuring in microbiome-based disease prediction and biomarker discovery. They talk about their view of data science and the backstory of the article published in Patterns.