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

机译：通过数据采矿分析通过其肠道微生物征鉴定重吸烟者

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Toshio KOBAYASHI; Kenji FUJIWARA;
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年度 2013
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1. Identification of Heavy Smokers through Their Intestinal Microbiota by Data Mining Analysis [J] . Kenji FUJIWARA, Toshio KOBAYASHI Bioscience of Microbiota, Food and Health . 2013,第2期

机译：通过数据挖掘分析通过肠道菌群鉴定重度吸烟者
2. 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 [J] . Genichirou SEO, Hiroyuki TAGAMI, Isao MATSUDA, Bioscience of Microbiota, Food and Health . 2013,第4期

机译：通过数据挖掘对年龄，体重指数，吸烟习惯，既往吸烟者的戒烟时间和饮酒习惯这5个特征进行数据挖掘，以鉴定92名男性的肠道菌群
3. Comparison of the Accuracy and Mechanism of Data Mining Identification of the Intestinal Microbiota with 7 Restriction Enzymes [J] . Kenji FUJIWARA, Toshio KOBAYASHI Bioscience of Microbiota, Food and Health . 2013,第4期

机译：7种限制性内切酶对肠道菌群的数据挖掘识别准确性和机理的比较
4. Data-driven competitor identification using text mining and word network analysis [C] . Xueyan Zhong, Guoqing Chen, Leilei Sun, International FLINS conference . 2018

机译：使用文本挖掘和词网分析的数据驱动型竞争对手识别
5. Antibiotic resistance in the lower intestinal microbiota of dairy cattle: Longitudinal analysis of phenotypic and genotypic resistance. [D] . Boyer, Timothy Charles. 2012

机译：奶牛肠道下部微生物群中的抗生素耐药性：表型和基因型耐药性的纵向分析。
6. Identification of Heavy Smokers through Their Intestinal Microbiota by DataMining Analysis [O] . Toshio Kobayashi, Kenji Fujiwara 2013

机译：通过数据确定重型吸烟者的肠道菌群挖掘分析
7. Analysis of the potential correlation between gastric cancer and gastrointestinal microbiota via in-silico data mining [O] . Xuelu Ding, Yukun Zhu, Zhaoyuan She, 2019

机译：硅癌和胃肠微生物煤层通过硅煤矿挖掘潜在相关性分析

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

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