Projects / Programmes
Knowledge discovery methods for functional genomics
Code |
Science |
Field |
Subfield |
2.07.07 |
Engineering sciences and technologies |
Computer science and informatics |
Intelligent systems - software |
Code |
Science |
Field |
P176 |
Natural sciences and mathematics |
Artificial intelligence |
B110 |
Biomedical sciences |
Bioinformatics, medical informatics, biomathematics biometrics |
knowledge discovery from data bases, bioinformatics, functional genomics, data mining, machine learning, knowledge-based data analysis
Researchers (6)
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
02275 |
PhD Ivan Bratko |
Computer science and informatics |
Researcher |
2002 - 2004 |
743 |
2. |
16324 |
PhD Janez Demšar |
Computer science and informatics |
Head |
2002 - 2004 |
340 |
3. |
20225 |
PhD Aleks Jakulin |
Computer science and informatics |
Researcher |
2002 - 2004 |
38 |
4. |
21352 |
PhD Peter Juvan |
Human reproduction |
Researcher |
2002 - 2004 |
163 |
5. |
15754 |
PhD Dorian Šuc |
Computer science and informatics |
Researcher |
2002 - 2004 |
43 |
6. |
12536 |
PhD Blaž Zupan |
Computer science and informatics |
Researcher |
2002 - 2004 |
531 |
Organisations (1)
Abstract
The goal of this project is to develop AI-based tools and techniques, including machine learning and data mining, for intelligent data analysis and knowledge discovery in functional genomics. Special emphasis will be put on the methods that effectively and efficiently explore both the existing domain knowledge and data, and that are able to present the discovered knowledge in a comprehensible and explainable way. While we aim at the development of methods to be applicable throughout different areas and problem domains of functional genomics, in collaboration with our research partners from Baylor College of Medicine, Houston, USA, a specific evaluation of the methods will be done through their experimental application to several analysis and gene function discovery tasks from genetic data of a soil amoeba Dictyostelium.