Abstract
Identifying functions shared by genes responsible for cancer is a challenging task. This paper describes the preparation work for applying Formal Concept Analysis (FCA) to complex biological data. We present here a preliminary experiment using these data on a core context with the addition of domain knowledge. The resulting concept lattices are explored and some interesting concepts are discussed. Our study shows how FCA can help the domain experts in the exploration of complex data.
| Original language | English |
|---|---|
| Pages (from-to) | 339-344 |
| Number of pages | 6 |
| Journal | CEUR Workshop Proceedings |
| Volume | 972 |
| Publication status | Published - 1 Jan 2012 |
| Externally published | Yes |
| Event | 9th International Conference on Concept Lattices and Their Applications, CLA 2012 - Fuengirola (Malaga), Spain Duration: 11 Oct 2012 → 14 Oct 2012 |
Keywords
- Formal Concept Analysis
- Knowledge discovery
- Transcriptomic data
