Genesis: cluster analysis of microarray data
| Autor: | John Quackenbush, Alexander Sturn, Zlatko Trajanoski |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Statistics and Probability
Normalization (statistics) Transcription Genetic Computer science computer.software_genre Biochemistry Distance measures Microarray databases Cluster Analysis Cluster analysis Promoter Regions Genetic Molecular Biology Oligonucleotide Array Sequence Analysis Principal Component Analysis Gene Expression Profiling Computational Biology Computer Science Applications Visualization Hierarchical clustering Support vector machine Computational Mathematics Computational Theory and Mathematics Principal component analysis Gene chip analysis Programming Languages Data mining computer Algorithms Software |
| Zdroj: | Bioinformatics (Oxford, England). 18(1) |
| ISSN: | 1367-4803 |
| Popis: | Summary: A versatile, platform independent and easy to use Java suite for large-scale gene expression analysis was developed. Genesis integrates various tools for microarray data analysis such as filters, normalization and visualization tools, distance measures as well as common clustering algorithms including hierarchical clustering, self-organizing maps, k-means, principal component analysis, and support vector machines. The results of the clustering are transparent across all implemented methods and enable the analysis of the outcome of different algorithms and parameters. Additionally, mapping of gene expression data onto chromosomal sequences was implemented to enhance promoter analysis and investigation of transcriptional control mechanisms. Availability: http://genome.tugraz.at Contact: zlatko.trajanoski@tugraz.at * To whom correspondence should be addressed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|