Name
Abstract | ||
|---|---|---|
In this paper we present two different exploratory tools for data anal- ysis following a gene microarray experiment. The rst tool is based on a novel data mining formulation, called hypergraph mining. In the second tool, we provide a family of expectation based similarity mea- sures between sets of genes or between a set and a single gene. We have evaluated these two tools using output from two different mi- croarray studies. We showed how many interesting observations could be made using our tools, and how the results from the two tools were similar in many ways. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/BIBE.2006.253319 | BIBE '06 Proceedings of the Sixth IEEE Symposium on BionInformatics and BioEngineering |
Keywords | Field | DocType |
biology computing,data analysis,data mining,genetics,data analysis,data mining formulation,gene microarray experiment,hypergraph mining | Data mining,Microarray,Computer science,Hypergraph,Artificial intelligence,Bioinformatics,Microarray databases,Machine learning,DNA microarray experiment | Conference |
ISBN | Citations | PageRank |
0-7695-2727-2 | 0 | 0.34 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaushik Sinha | 1 | 244 | 17.81 |
| Ruoming Jin | 2 | 1637 | 91.73 |
| Gagan Agrawal | 3 | 2058 | 209.59 |
| Helen Piontkivska | 4 | 10 | 3.21 |