Pregled bibliografske jedinice broj: 144417
Analysis of gene expression data by the logic minimization approach
Analysis of gene expression data by the logic minimization approach // Artificial Intelligence in Medicine / Dojat, Michel ; Keravnou, Elpida ; Barahona, Pedro (ur.).
Berlin: Springer, 2003. str. 244 - 248 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 144417 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Analysis of gene expression data by the logic minimization approach
Autori
Gamberger, Dragan ; Lavrač, Nada
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Artificial Intelligence in Medicine
/ Dojat, Michel ; Keravnou, Elpida ; Barahona, Pedro - Berlin : Springer, 2003, 244 - 248
Skup
9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003
Mjesto i datum
Protaras, Cipar, 18.10.2003. - 22.10.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
gene expressions; inductive learning; disease markers
Sažetak
This paper presents an application of machine learning algorithms based on inductive learning by logic minimization to the analysis of gene expression data. The characteristic properties of these data are a very large number of attributes (genes) and a relatively small number of examples (samples). Approaches to gene set reduction and to the detection of important disease markers are described. The results obtained on two well known publicly available gene expression classification problems are presented.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
