Name
Abstract | ||
|---|---|---|
The study of gene functions requires a DNA library of high quality, such a library is obtained from a large mount of testing and screening. Pooling design is a very helpful tool for reducing the number of tests for DNA library screening. In this paper, we present new one- and two-stage pooling designs, together with new probabilistic pooling designs. The approach in this paper works for both error-free and error-tolerance scenarios. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1089/cmb.2007.0195 | JOURNAL OF COMPUTATIONAL BIOLOGY |
Keywords | Field | DocType |
DNA library screening,nonadaptive group testing,pooling designs | Pooling,Artificial intelligence,Bioinformatics,Probabilistic logic,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
15.0 | 2 | 1066-5277 |
Citations | PageRank | References |
31 | 1.17 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongxi Cheng | 1 | 125 | 15.23 |
| Ding-Zhu Du | 2 | 3497 | 283.06 |