Jezik: | Slovenski jezik |
---|---|
Leto izida: | 2015 |
Tipologija: | 2.09 - Magistrsko delo |
Organizacija: | UM FERI - Fakulteta za elektrotehniko, računalništvo in informatiko |
Založnik: | [N. Rednjak] |
UDK: | 575(043.2) |
COBISS: | 2144932 |
Št. ogledov: | 1733 |
Št. prenosov: | 137 |
Ocena: | 0 (0 glasov) |
Metapodatki: |
Sekundarni jezik: | Angleški jezik |
---|---|
Sekundarni naslov: | DETERMINING GENETIC PREDICTORS BY USING INTELLIGENT SYSTEMS |
Sekundarni povzetek: | With machine learning we acquire knowledge based on experience. It is not about learning by memorization but to search the rules in the learning data. The most known representatives of machine learning are decision trees (DT), support vector machines (SVM) and neural networks (NN). Machine learning methods help us to identify genetic predictors. The machine learning algorithms also play an important role in cancer diagnosis. In our master thesis we describe the most known machine learning methods and test them on an AP_Colon_Kidney database. For these master thesis we have used a database from an GEMLeR online collection which contains data on gene expression with more than 2,000 samples of tumors. We have also investigated which genes are the most xpressed in the case of colon and kidney cancer. |
Sekundarne ključne besede: | machine learning;decision trees;neural networks;support vector machine;gene;database; |
URN: | URN:SI:UM: |
Vrsta dela (COBISS): | Magistrsko delo/naloga |
Komentar na gradivo: | Univ. v Mariboru, Fak. za zdravstvene vede |
Strani: | IX, 45 f. |
ID: | 8751540 |