
Group testing is a basic paradigm for experimental design. In computational biology, group testing problems come up in designing experiments with sequences for mapping, screening libraries, etc. While a great deal of classical research has been done on group testing over the last fifty years, the current biological applications bring up many new issues in group testing which had not been previously considered. The authors isolate the most basic issues in molecular biological group testing. Given these, they formulate a set of novel group testing problems for designing cost effective experiments. For some of these problems they give solutions, while leaving others open.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
