Numerical analyses of intestinal microbiota by data mining.

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Numerical analyses of intestinal microbiota by data mining.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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2018年學術文章

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Numerical analyses of intestinal microbiota by data mining.

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Numerical analyses of intestinal microbiota by data mining.

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Numerical analyses of intestinal microbiota by data mining.

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Numerical analyses of intestinal microbiota by data mining.

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Numerical analyses of intestinal microbiota by data mining.

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Numerical analyses of intestinal microbiota by data mining.

@nl

P1476

Numerical analyses of intestinal microbiota by data mining.

@en

P2093

Akira Andoh

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Toshio Kobayashi

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P2860

Data mining analysis of terminal restriction fragment length polymorphism shows geographical differences in the human gut microbiota.

Identification of Heavy Smokers through Their Intestinal Microbiota by Data Mining Analysis.

Identification of Human Intestinal Microbiota of 92 Men by Data Mining for 5 Characteristics, i.e., Age, BMI, Smoking Habit, Cessation Period of Previous Smokers and Drinking Habit.

Comparison of the accuracy and mechanism of data mining identification of the intestinal microbiota with 7 restriction enzymes.

Applying Data Mining to Classify Age by Intestinal Microbiota in 92 Healthy Men Using a Combination of Several Restriction Enzymes for T-RFLP Experiments

Technical Aspects of Nominal Partitions on Accuracy of Data Mining Classification of Intestinal Microbiota - Comparison between 7 Restriction Enzymes

Application of Taxonomic Modeling to Microbiota Data Mining for Detection of Helminth Infection in Global Populations.

The Gut Microbiota and Autism Spectrum Disorders.

Use of Wild Type or Recombinant Lactic Acid Bacteria as an Alternative Treatment for Gastrointestinal Inflammatory Diseases: A Focus on Inflammatory Bowel Diseases and Mucositis.

The ecological community of commensal, symbiotic, and pathogenic gastrointestinal microorganisms - an appraisal

P304

124-131

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P31

scholarly article

P356

10.3164/JCBN.17-84

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P433

http://www.w3.org/2001/XMLSchema#string

P478

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P577

2018-01-11T00:00:00Z

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P698

29610551

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P932

5874238

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