1. The multispecies microbial cluster of Fusobacterium, Parvimonas, Bacteroides and Faecalibacterium as a precision biomarker for colorectal cancer diagnosis
    Kelly Conde‐Pérez et al, 2024, Molecular Oncology CrossRef
  2. A Complementary Approach in the Analysis of the Human Gut Microbiome Applying Self-organizing Maps and Random Forest
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  3. Parvimonas micra is associated with tumour immune profiles in molecular subtypes of colorectal cancer
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  4. Genetic heterogeneity of colorectal cancer and the microbiome
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  5. LITERATURE REVIEW OF THE MAIN MICROBIAL MARKERS FOR DIAGNOSIS OF COLORECTAL CANCER
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  7. Bacterial pathogens in pediatric appendicitis: a comprehensive retrospective study
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  8. Faecal microbiome-based machine learning for multi-class disease diagnosis
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  11. Leveraging Scheme for Cross-Study Microbiome Machine Learning Prediction and Feature Evaluations
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  12. Tumour Colonisation of Parvimonas micra Is Associated with Decreased Survival in Colorectal Cancer Patients
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  14. Detection of Streptococcus gallolyticus and Four Other CRC-Associated Bacteria in Patient Stools Reveals a Potential “Driver” Role for Enterotoxigenic Bacteroides fragilis
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  15. An independent evaluation in a CRC patient cohort of microbiome 16S rRNA sequence analysis methods: OTU clustering, DADA2, and Deblur
    Guang Liu et al, 2023, Frontiers in Microbiology CrossRef
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  17. GMrepo v2: a curated human gut microbiome database with special focus on disease markers and cross-dataset comparison
    Die Dai et al, 2022, Nucleic Acids Research CrossRef