Saturday, October 17, 2026
Science

Machine learning analysis of gene regulation reveals new dimension of biological variability

Changes in our genes affect health risks from heart disease to cancer, but how those genes are turned on and off is just as crucial to health. What's more, almost all genes occur as two copies—one from each parent—that aren't necessarily turned on and off in sync. When that differential gene regulat...

Machine learning analysis of gene regulation reveals new dimension of biological variability
Image: Phys.org
Changes in our genes affect health risks from heart disease to cancer, but how those genes are turned on and off is just as crucial to health. What's more, almost all genes occur as two copies—one from each parent—that aren't necessarily turned on and off in sync. When that differential gene regulation goes awry, it can cause serious health problems.

Originally published at Phys.org

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