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Big Data Analysis of Bacterial Inhibitors in Parallelized Cellomics - A Machine Learning Approach.

机译：并行纤维组学中细菌抑制剂的大数据分析-一种机器学习方法。

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作者
Trevino, Robert.;
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作者单位

Arizona State University.;

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授予单位 Arizona State University.;
学科 Computer science.;Molecular biology.
学位 Ph.D.
年度 2016
页码 146 p.
总页数 146
原文格式 PDF
正文语种 eng
中图分类
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机译：采用机器学习方法对小分子激酶抑制剂的激酶相关不良事件分析。
2. KINASE RELATED ADVERSE EVENT ANALYSIS FOR SMALL-MOLECULE KINASE INHIBITORS USING MACHINE LEARNING APPROACH. [J] . Gong X., Hu M., Liu J., Clinical Pharmacology and Therapeutics . 2018,第Suppla1期

机译：采用机器学习方法对小分子激酶抑制剂的激酶相关不良事件分析。
3. Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors, using a supervised machine‐learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database [J] . Zhou Fang L., Watada Hirotaka, Tajima Yuki, Diabetes, obesity & metabolism . 2019,第8期

机译：鉴定2型糖尿病患者患者患者肾功能保存的差异，比较含钠共转运蛋白-2抑制剂与接受二肽肽酶-4抑制剂的患者，使用监督机制学习算法（简介研究）：a 日本商业医疗数据库的回顾性分析
4. Parallelizing Machine Learning Optimization Algorithms on Distributed Data-Parallel Platforms with Parameter Server [C] . Rong Gu, Shiqing Fan, Qiu Hu, IEEE International Conference on Parallel and Distributed Systems . 2018

机译：带有参数服务器的分布式数据并行平台上的并行机器学习优化算法
5. Probabilistic data analysis - machine learning approach. [D] . Chimmad, Anundhara Virupaxi. 2017

机译：概率数据分析-机器学习方法。
6. Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors using a supervised machine‐learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database [O] . Fang L. Zhou, Hirotaka Watada, Yuki Tajima, -1

机译：使用监督式机器学习算法（PROFILE研究）比较接受钠葡萄糖共转运蛋白2抑制剂和接受二肽基肽酶4抑制剂的2型糖尿病患者亚组的肾功能保存差异日本商业医学数据库的回顾性分析
7. Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors, using a supervised machine‐learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database [O] . Fang L. Zhou, Hirotaka Watada, Yuki Tajima, 2019

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Big Data Analysis of Bacterial Inhibitors in Parallelized Cellomics - A Machine Learning Approach.

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