PAGE: phase-shifted analysis of gene expression
| Autor: | Elo Leung, Pierre R. Bushel |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Statistics and Probability
Computational biology Biology computer.software_genre Biochemistry Pattern Recognition Automated User-Computer Interface Artificial Intelligence Phase shifted Gene expression Computer Graphics Cluster Analysis Molecular Biology Gene Oligonucleotide Array Sequence Analysis Supplementary data Gene Expression Profiling Gene Annotation Computer Science Applications Gene expression profiling Computational Mathematics Computational Theory and Mathematics Data mining computer Algorithms Software |
| Zdroj: | Bioinformatics. 22:367-368 |
| ISSN: | 1367-4811 1367-4803 |
| Popis: | Summary: Grouping of gene expression patterns across biological experiments, treatments and time-series data is performed in q-intervals of measurements using phase-shifted analysis of gene expression (PAGE); a Java-based tool to find clusters of genes that share trends of expression profiles within the dataset. The patterns and genes within q-Clusters are visualized in trend plots and compared to determine biological relevance from the gene annotations. Availability: PAGE is available at Contact: bushel@niehs.nih.gov Supplementary information: The Supplementary data are available at |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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