Machine learning analysis of gene regulation reveals new dimension of biological variability
A new machine learning analysis reveals that how genes are regulated—turned on or off—is just as critical to health as genetic variations themselves. This finding highlights the importance of studying gene regulation in understanding diseases like heart disease and cancer, where differential regulation between the two copies of a gene can lead to significant health issues.
A new machine learning analysis reveals that how genes are regulated—turned on or off—is just as critical to health as genetic variations themselves. This finding highlights the importance of studying gene regulation in understanding diseases like heart disease and cancer, where differential regulation between the two copies of a gene can lead to significant health issues.
Sources
- Phys.org — Machine learning analysis of gene regulation reveals new dimension of biological variability
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