Deciphering Gut Microbiome in Colorectal Cancer via Robust Learning Methods

Biologically, the microbial signatures identified from the integrated data improve our understanding of the gut microbiota's role in CRC pathogenesis and may contribute to the development of translational targets and microbiota-based therapies. Methodologically, this study demonstrates the effectiveness of adapting robust techniques from single-cell research to improve the precision of microbial marker discovery.

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Publication Details

Journal
Genes
Published
2025-04-15
DOI
https://doi.org/10.3390/genes16040452
Citations
2
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
1.61

Funders

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article

Deciphering Gut Microbiome in Colorectal Cancer via Robust Learning Methods

Hongwei Han, Wodan Ling, Youran Qi, Stefano Mangiola et al.
2 citations
Genes
Gut microbiota and health
1.61
article

Deciphering Gut Microbiome in Colorectal Cancer via Robust Learning Methods

Hongwei Han, Wodan Ling, Youran Qi, Stefano Mangiola, Ying Li
article en
2 citations

Abstract

Biologically, the microbial signatures identified from the integrated data improve our understanding of the gut microbiota's role in CRC pathogenesis and may contribute to the development of translational targets and microbiota-based therapies. Methodologically, this study demonstrates the effectiveness of adapting robust techniques from single-cell research to improve the precision of microbial marker discovery.

GenesVol. 16(4)
Walter and Eliza Hall Institute of Medical Research (AU), Cornell University (US), Centre for Cancer Biology (AU), Weill Cornell Medicine (US), The University of Adelaide (AU)
National Institute of General Medical Sciences
Good health and well-being
Openalex Percentile: Top 18%
Gut microbiota and health
1.61
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Deciphering Gut Microbiome in Colorectal Cancer via Robust Learning Methods — Hongwei Han, Wodan Ling, et al. · Genes (2025) | TGRS Research Map | TGRS