Different Approaches to Microarray Data Analysis
| dc.contributor.author | Kokrment, Lukáš | |
| dc.contributor.author | Hetmánek, Petr | |
| dc.contributor.editor | Hřebíček, J. | |
| dc.contributor.editor | Ráček, J. | |
| dc.date.accessioned | 2019-09-16T09:34:53Z | |
| dc.date.available | 2019-09-16T09:34:53Z | |
| dc.date.issued | 2005 | |
| dc.description.abstract | In recent years we have seen that a number of new technologies has been developed in the field of bioinformatics and genomics. One of these technologies is DNA microarrays, which are used to the analysis of gene expression profiles. Microarray experiments produce huge amount of data and its analysis presents interesting problem from the view of statistics and informatics. In this paper we describe and compare current techniques for the clustering of the microarray data. The main goals of clustering applied to microarray data are identification of groups of genes that are involved in the same functional processes in the cell, identification and annotation of unknown cell types or conditions and many others. Obtained knowledge can significantly help mainly in the areas of bioinformatics and medicine. | de |
| dc.description.uri | http://enviroinfo.eu/sites/default/files/pdfs/vol111/0347.pdf | de |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/27421 | |
| dc.publisher | Masaryk University Brno | |
| dc.relation.ispartof | Informatics for Environmental Protection - Networking Environmental Information | |
| dc.relation.ispartofseries | EnviroInfo | |
| dc.title | Different Approaches to Microarray Data Analysis | de |
| dc.type | Text/Conference Paper | |
| gi.citation.publisherPlace | Brno | |
| gi.conference.date | 2005 | |
| gi.conference.location | Brno | |
| gi.conference.sessiontitle | Knowledge management and decision support systems |