- author = "Cuong Chieu To",
- title = "Data Mining in Transcriptomics and Proteomics",
- school = "University of West Bohemia in Pilsen",
- year = "2006",
- address = "30614 Pilsen, Czech Republic",
- month = jun,
- keywords = "genetic algorithms, genetic programming, Software",
- language = "English",
-
URL = "
https://vufind.techlib.cz/Record/000644036",
-
URL = "
http://sun2.biomed.cas.cz/mbu/proteom/download/cuongthesis.pdf",
- size = "122 pages",
- abstract = "This work presents algorithms based on evolutionary computation for pattern classification and identification of protein networks and their application for transcriptomics and proteomics databases. There are three parts in this work. The first part (chapters 1-3) brings overview of pattern recognition methods applied in biology, pattern classification algorithms using evolutionary computation, and methods for inference of protein networks. Chapter 2 and 3 are overview of background methods such as genetic algorithm, genetic programming, kernel methods and cluster analysis. The second part consists of chapters 4 to 8. Two algorithms for binary classification and three for single class classification are shown. Their applications for transcriptomics and proteomics database and comparisons with six popular pattern classification methods are tested. The last part which contains chapter 9 and 10 shows two algorithms for inference of protein interaction networks. Parallel evolutionary computing using the island model was applied in the second part and the third part to increase the performance and the quality of results. Chapter 11 presents the programs using the above mentioned algorithms. In appendix B, two breast cancer databases are used to test the pattern classification algorithms that are mentioned in the second part.",
-
notes = "Copies of this report are available on (broken Oct
2023) http://www.kiv.zcu.cz/publications/
K 63381 z
Supervisor: Jiri Vohradsky",
