北京大学医学部机构知识库
Advanced  
IR@PKUHSC  > 北京大学第三临床医学院  > 呼吸内科  > 期刊论文
学科主题: 临床医学
题名:
Use of Direct Gradient Analysis to Uncover Biological Hypotheses in 16S Survey Data and Beyond
作者: Erb-Downward, John R.1; Akha, Amir A. Sadighi1; Wang, Juan4; Shen, Ning4; He, Bei4; Martinez, Fernando J.1; Gyetko, Margaret R.1,5; Curtis, Jeffrey L.1,2,5; Huffnagle, Gary B.1,2,3
刊名: SCIENTIFIC REPORTS
发表日期: 2012-10-26
DOI: 10.1038/srep00774
卷: 2
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Multidisciplinary Sciences
研究领域[WOS]: Science & Technology - Other Topics
关键词[WOS]: RIBOSOMAL-RNA SEQUENCES ; GUT MICROBIOME ; MULTIVARIATE ANALYSES ; BACTERIAL MICROBIOTA ; ANTIBIOTIC-THERAPY ; FUNGAL MICROBIOTA ; CANDIDA-ALBICANS ; RECOLONIZATION ; IDENTIFICATION ; PATTERNS
英文摘要:

This study investigated the use of direct gradient analysis of bacterial 16S pyrosequencing surveys to identify relevant bacterial community signals in the midst of a "noisy" background, and to facilitate hypothesis-testing both within and beyond the realm of ecological surveys. The results, utilizing 3 different real world data sets, demonstrate the utility of adding direct gradient analysis to any analysis that draws conclusions from indirect methods such as Principal Component Analysis (PCA) and Principal Coordinates Analysis (PCoA). Direct gradient analysis produces testable models, and can identify significant patterns in the midst of noisy data. Additionally, we demonstrate that direct gradient analysis can be used with other kinds of multivariate data sets, such as flow cytometric data, to identify differentially expressed populations. The results of this study demonstrate the utility of direct gradient analysis in microbial ecology and in other areas of research where large multivariate data sets are involved.

语种: 英语
所属项目编号: R01 HL082480 ; U19 AI090871 ; U01 HL098961
项目资助者: Joint Initiative for Translational and Clinical Research at the University of Michigan and Peking University Health Sciences ; USPHS ; Biomedical Laboratory Research &amp ; Development Service, Department of Veterans Affairs
WOS记录号: WOS:000310450800002
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/58708
Appears in Collections:北京大学第三临床医学院_呼吸内科_期刊论文

Files in This Item:

There are no files associated with this item.


作者单位: 1.Univ Michigan Hlth Syst, Div Pulm & Crit Care Med, Dept Internal Med, Ann Arbor, MI 48109 USA
2.Univ Michigan Hlth Syst, Grad Program Immunol, Ann Arbor, MI 48109 USA
3.Univ Michigan Hlth Syst, Dept Microbiol & Immunol, Ann Arbor, MI 48109 USA
4.Peking Univ, Dept Resp Med, Hosp 3, Beijing 100191, Peoples R China
5.VA Ann Arbor Healthsyst, Pulm & Crit Care Med Sect, Ann Arbor, MI 48105 USA

Recommended Citation:
Erb-Downward, John R.,Akha, Amir A. Sadighi,Wang, Juan,et al. Use of Direct Gradient Analysis to Uncover Biological Hypotheses in 16S Survey Data and Beyond[J]. SCIENTIFIC REPORTS,2012,2.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Erb-Downward, John R.]'s Articles
[Akha, Amir A. Sadighi]'s Articles
[Wang, Juan]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Erb-Downward, John R.]‘s Articles
[Akha, Amir A. Sadighi]‘s Articles
[Wang, Juan]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  北京大学医学部 - Feedback
Powered by CSpace