VictoriaPark
Science··1 min read

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

A new machine learning analysis of gene regulation has revealed insights into biological variability, highlighting how gene expression affects health risks from heart disease to cancer. The study also found that genes often occur as two copies, each potentially regulated differently, which can lead to serious health issues when misaligned.

Machine learning analysis of gene regulation reveals new dimension of biological variability
Image: Phys.org

A new machine learning analysis of gene regulation has revealed insights into biological variability, highlighting how gene expression affects health risks from heart disease to cancer. The study also found that genes often occur as two copies, each potentially regulated differently, which can lead to serious health issues when misaligned.

Sources

  • Phys.org — Machine learning analysis of gene regulation reveals new dimension of biological variability

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