Estimating network changes from lifespan measurements using a parsimonious gene network model of cellular aging
Abstract Background Cellular aging is best studied in the budding yeast Saccharomyces cerevisiae. As an example of a pleiotropic trait, yeast lifespan is influenced by hundreds of interconnected genes. However, no quantitative methods are currently available to infer system-level changes in gene net...
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| Format: | Article |
| Language: | English |
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BMC
2019-11-01
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| Series: | BMC Bioinformatics |
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| Online Access: | http://link.springer.com/article/10.1186/s12859-019-3177-7 |