Multi-omics differentially classify disease state and treatment outcome in pediatric Crohn’s disease

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Cited by papers we hold 9

• Microbiome differential abundance methods produce different results across 38 datasets · 2022
  Corrected
• Longitudinal evaluation of fecal microbiota transplantation for ameliorating calf diarrhea and improving growth performance · 2021
  No notice
• Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment · 2021
  No notice
• A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases · 2020
  No notice
• Big data in IBD: big progress for clinical practice · 2020
  No notice
• Integrated microbiota and metabolite profiles link Crohn’s disease to sulfur metabolism · 2020
  No notice
• Advancing functional and translational microbiome research using meta-omics approaches · 2019
  No notice
• Differences in the intestinal microbiome of healthy children and patients with newly diagnosed Crohn’s disease · 2019
  No notice
• Denoising the Denoisers: an independent evaluation of microbiome sequence error-correction approaches · 2018
  No notice

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