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

Lignende værker

• Comparison of the Accuracy and Mechanism of Data Mining Identification of the Intestinal Microbiota with 7 Restriction Enzymes
  af: KOBAYASHI, Toshio, et al.
  Udgivet: (2013)
• Technical Aspects of Nominal Partitions on Accuracy of Data Mining Classification of Intestinal Microbiota — Comparison between 7 Restriction Enzymes
  af: KOBAYASHI, Toshio, et al.
  Udgivet: (2014)
• Numerical analyses of intestinal microbiota by data mining
  af: Kobayashi, Toshio, et al.
  Udgivet: (2018)
• 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
  af: KOBAYASHI, Toshio, et al.
  Udgivet: (2013)
• Applying Data Mining to Classify Age by Intestinal Microbiota in 92 Healthy Men Using a Combination of Several Restriction Enzymes for T-RFLP Experiments
  af: KOBAYASHI, Toshio, et al.
  Udgivet: (2014)