首页 | 本学科首页   官方微博 | 高级检索  
     


VIPR: A probabilistic algorithm for analysis of microbial detection microarrays
Authors:Adam F Allred  Guang Wu  Tuya Wulan  Kael F Fischer  Michael R Holbrook  Robert B Tesh  David Wang
Affiliation:(1) Departments of Molecular Microbiology and Pathology & Immunology, Washington University School of Medicine, St. Louis, Missouri, USA;(2) Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah, USA;(3) Department of Pathology, University of Texas Medical Branch, Galveston, Texas, USA;(4) NIH Integrated Research Facility, Division of Clinical Medicine, 8200 Research Plaza, Fort Detrick, Frederick, MD, 21702
Abstract:

Background  

All infectious disease oriented clinical diagnostic assays in use today focus on detecting the presence of a single, well defined target agent or a set of agents. In recent years, microarray-based diagnostics have been developed that greatly facilitate the highly parallel detection of multiple microbes that may be present in a given clinical specimen. While several algorithms have been described for interpretation of diagnostic microarrays, none of the existing approaches is capable of incorporating training data generated from positive control samples to improve performance.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号