Toward ordered -omics data science: Researchers on the magic of turning metagenomic chaos into image-like patterns.
basic_science · Level V
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- Record sourced from PubMed, PMID 36699736.
- Also identified by DOI 10.1016/j.patter.2022.100673 and PMC identifier 9868643.
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Abstract
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 <i>Patterns</i> 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 <i>Patterns</i>.