EconPapers    
Economics at your fingertips  
 

Molecular Biology and Pooling Design

Weili Wu (), Yingshu Li (), Chih-hao Huang () and Ding-Zhu Du ()
Additional contact information
Weili Wu: University of Texas at Dallas
Yingshu Li: University of Minnesota
Chih-hao Huang: University of Minnesota
Ding-Zhu Du: University of Texas at Dallas

A chapter in Data Mining in Biomedicine, 2007, pp 133-139 from Springer

Abstract: Abstract The study of gene functions requires a high-quality DNA library. A large amount of testing and screening needs to be performed to obtain a high-quality DNA library. Therefore, the efficiency of testing and screening becomes very important. Pooling design is a very helpful tool, which has developed a lot of applications in molecular biology. In this chapter, we introduce recent developments in this research direction.

Keywords: Group Testing; Positive Clone; Simplicial Complex; Discrete Apply Mathematic; Pooling Design (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-69319-4_8

Ordering information: This item can be ordered from
http://www.springer.com/9780387693194

DOI: 10.1007/978-0-387-69319-4_8

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:spochp:978-0-387-69319-4_8