[1]孙梦茹,王瑜,何聪芬,等.基于MCCA的痤疮宏基因组数据辅助分析[J].智能系统学报,2020,15(5):972-977.[doi:10.11992/tis.201810005]
SUN Mengru,WANG Yu,HE Congfen,et al.Assisted analysis of acne metagenomic sequencing data using multi-set canonical correlation analysis methods[J].CAAI Transactions on Intelligent Systems,2020,15(5):972-977.[doi:10.11992/tis.201810005]
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SUN Mengru,WANG Yu,HE Congfen,et al.Assisted analysis of acne metagenomic sequencing data using multi-set canonical correlation analysis methods[J].CAAI Transactions on Intelligent Systems,2020,15(5):972-977.[doi:10.11992/tis.201810005]
基于MCCA的痤疮宏基因组数据辅助分析
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
15
期数:
2020年第5期
页码:
972-977
栏目:
学术论文—知识工程
出版日期:
2020-09-05
- Title:
- Assisted analysis of acne metagenomic sequencing data using multi-set canonical correlation analysis methods
- Keywords:
- acne; macrogenomics; facial skin; lipids; machine learning; multi-set canonical correlation analysis
- 分类号:
- TP391
- 文献标志码:
- A
- 摘要:
- 痤疮作为常见皮肤病之一，发病机制复杂，其中微生物定植在痤疮发病中的作用是一个热点研究问题。本文从宏基因组学的角度，利用机器学习方法分析痤疮宏基因组数据，包括痤疮患者的患病皮肤(diseased skin, DS)样本集和健康皮肤(healthy skin, HS)样本集，以及正常对照组(normal control, NC)样本集。为了同时分析3组样本集以获得可以区分不同样本集的脂质，使用多重集典型相关分析(multi-set canonical correlation analysis, MCCA)方法进行研究。实验结果可得到仅对某一样本集有显著影响的脂质，以及同时对3个样本集影响程度不同的脂质，这些脂质可以作为判别皮肤状态的指标，用于辅助指导皮肤痤疮疾病的诊断、预后和治疗。
- Abstract:
- As one of the common skin diseases, the pathogenesis of acne is very complicated. The role of microbial colonization in the pathogenesis of acne is an active research area. The purpose of this paper is to analyze acne metagenomic data, including sample sets of acne diseased skin (DS) and healthy skin (HS) as well as normal control (NC) by using machine learning from the perspective of macrogenomics. Multi-set canonical correlation analysis (MCCA) method is used to analyze the above three sample sets at the same time and to confirm the lipids that can distinguish these three sample sets. The results show that lipids that had a significant impact on only one set and those that had different impacts on the three sample sets respectively can be used as indicators to determine the skin status. Moreover, these lipids can be used to guide diagnosis, prognosis, and treatment of skin acne diseases.
- 参考文献/References:
-
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备注/Memo
收稿日期:2019-10-09。
基金项目:国家自然科学基金面上项目（61671028）；北京市自然科学基金面上项目（4162018）
作者简介:孙梦茹,硕士研究生,主要研究方向为图像处理、模式识别;王瑜，副教授，博士，主要研究方向为图像处理、模式识别。申请国家发明专利15项。主持国家自然科学基金面上项目2项、北京市自然科学基金面上项目。出版学术专著2部，发表学术论文30余篇;何聪芬,教授,博士,主要研究方向为皮肤分子生态学与化妆品生物技术。主持纵向科研项目6项,作为主研人参加并完成国家自然科学基金项目1项。主持北京市教委纵向课题和参加973计划、863计划课题。合作主编著作2部,获批国家专利8项,国外专利1项。在美国国立生物技术信息中心(The National Center for Biotechnology Information (NCBI))注册新基因6个。参编著作2部。发表学术论文40余篇
通讯作者:王瑜.E-mail:wangyu@btbu.edu.cn
更新日期/Last Update:
2021-01-15