Naslov
Efficient Gene Expression Analysis by Linking Multiple Data Mining Algorithms

Autori
Bogunović, Nikola ; Marohnić, Viktor ; Debeljak, Željko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 27th Annual International Conference of the IEEE-EMBS 2005 / Zhang, Y.T. - Singapur : London : München : Ženeva : Tokyo : Hong Kong : Taipei : Peking : Šangaj : Tianjin : Chennai : Institute of Electrical and Electronics Engineers (IEEE), 2005, 1-4

Skup
Annual International Conference of the IEEE-EMBS (27 ; 2005)

Mjesto i datum
Šangaj, Kina, 01.09.2005. - 04.09.2005

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
data mining ; gene expression ; mutual information

Sažetak
The set of gene micro-arrays, which consists of two leukemia types, was used as a target to evaluate the efficiency of novel integrated data mining classification process. Discovering the most relevant subset of genes among few housands of analyzed genes is necessary to get accurate disease classification. Dimensional complexity of the classification process was reduced by a filter based on mutual information feature selection coupled with the support vector machines classifier in the leave-one-out loop. The result was an efficient and reliable tool named MIFS/SVM hybrid. Optimal procedure parameters that enable accurate classification and attribute selection could be determined within an acceptable time frame.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA