Profiling of Genetic Switches using Boolean Implications in Expression Data
Correlation analysis assuming coexpression of the genes is a widely used method for gene expression analysis in molecular biology. Yet growing extent, quality and dimensionality of the molecular biological data permits emerging, more sophisticated approaches like Boolean implications.
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2014-03-01
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| Series: | Journal of Integrative Bioinformatics |
| Online Access: | https://doi.org/10.2390/biecoll-jib-2014-246 |
| Summary: | Correlation analysis assuming coexpression of the genes is a widely used method for gene expression analysis in molecular biology. Yet growing extent, quality and dimensionality of the molecular biological data permits emerging, more sophisticated approaches like Boolean implications. |
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| ISSN: | 1613-4516 |