Name
Title | ||
|---|---|---|
Sequential patterns mining and gene sequence visualization to discover novelty from microarray data. |
Abstract | ||
|---|---|---|
Data mining allow users to discover novelty in huge amounts of data. Frequent pattern methods have proved to be efficient, but the extracted patterns are often too numerous and thus difficult to analyze by end users. In this paper, we focus on sequential pattern mining and propose a new visualization system to help end users analyze the extracted knowledge and to highlight novelty according to databases of referenced biological documents. Our system is based on three visualization techniques: clouds, solar systems, and treemaps. We show that these techniques are very helpful for identifying associations and hierarchical relationships between patterns among related documents. Sequential patterns extracted from gene data using our system were successfully evaluated by two biology laboratories working on Alzheimer's disease and cancer. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.jbi.2011.04.002 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
biology laboratory,gene data,visualization technique,solar system,sequential patterns,visualization,microarray data,sequential patterns mining,frequent pattern method,new visualization system,sequential pattern,data mining,end user,gene sequence visualization,bioinformatics,sequential pattern mining,visual system | Data mining,End user,Information retrieval,Visualization,Computer science,Microarray analysis techniques,Novelty,Sequential Pattern Mining,Creative visualization | Journal |
Volume | Issue | ISSN |
44 | 5 | 1532-0480 |
Citations | PageRank | References |
17 | 0.62 | 25 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arnaud Sallaberry | 1 | 147 | 14.86 |
| Nicolas Pecheur | 2 | 20 | 1.69 |
| Sandra Bringay | 3 | 183 | 34.40 |
| Mathieu Roche | 4 | 222 | 39.78 |
| M Teisseire | 5 | 17 | 0.62 |