期刊论文详细信息
  1. 返回上一页
Molecular Systems Biology
Diagnostics and correction of batch effects in large‐scale proteomic studies: a tutorial
Tatjana Sajic1  Varun S Sharma1  Chloe H Lee1  Patrick G A Pedrioli2  Ruedi Aebersold3  Evan G Williams4  Jelena Čuklina5  Ben C Collins6  Fabian Wendt7  Sandra Goetze8  Bernd Wollscheid8  María Rodríguez Martínez9  Gregory R Keele1,10 
[1] Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland;Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland;Department of Health Sciences and Technology, Institute of Translational Medicine, ETH Zurich, Zurich, Switzerland;ETH Zürich, PHRT‐CPAC, Zürich, Switzerland;SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland;Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland;Faculty of Science, University of Zurich, Zurich, Switzerland;Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland;Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Luxembourg, Luxembourg;Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland;PhD Program in Systems Biology, University of Zurich and ETH Zurich, Zurich, Switzerland;IBM Research Europe, Rüschlikon, Switzerland;Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland;Queen’s University Belfast, Belfast, UK;Department of Health Sciences and Technology, Institute of Translational Medicine, ETH Zurich, Zurich, Switzerland;Department of Health Sciences and Technology, Institute of Translational Medicine, ETH Zurich, Zurich, Switzerland;ETH Zürich, PHRT‐CPAC, Zürich, Switzerland;SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland;IBM Research Europe, Rüschlikon, Switzerland;The Jackson Laboratory, Bar Harbor, ME, USA;
关键词: batch effects;    data analysis;    large‐scale proteomics;    normalization;    quantitative proteomics;   
DOI  :  10.15252/msb.202110240
来源: Wiley
PDF
【 授权许可】

CC BY   

【 预 览 】
附件列表
Files Size Format View
RO202111165555895ZK.pdf 2629KB PDF download
  文献评价指标  
  下载次数：9次 浏览次数：1次
   
推荐资源列表
关于我们|团队介绍|帮助中心|联系我们

Copyright © 2016 中国科学院文献情报中心

京公网安备340104078870146号  878987797  028-85220240

OAinOne平台基于对开放资源的发现、遴选和评价方式，发现、获取、集成9类优质的开放科技资源，包括开放期刊、开放会议论文、开放课件、科技政策、开放学位论文、开放图书、开放科技报告、科研项目、开放科学数据。同时，为实现开放知识资源普遍服务、个性化服务、精准服务，基于OAinONE集成的丰富开放资源，开发建设领域开放知识资源服务定制工具(OAtoYOU)、开放资源评价评估体系（OAEvaluation），建设集成OAinONE资源及其他第三方资源的OA Hub，及其面向我院分布式大数据知识资源系统及其他第三方的开放接口服务，并打造特色专题数据库产品建设，包括科技政策集成及趋势平台、开放课程大讲堂等。此外，OAinOne构建开放知识资源建设的可持续发展机制，支持我院研究所特色馆藏资源、自建资源、古籍资源等在OAinONE平台上的集成、开放、共享。