Machine Learning Enhances Single-Cell Gene Analysis

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Phys Org

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Science

Scientists create scalable solution for analyzing single-cell data

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Scientists at St. Jude Children's Research Hospital created a machine-learning algorithm capable of scaling with single-cell data repositories to deliver more accurate results.

The new method was published today ( Jan. 8) in Cell Genomics .

The algorithm could identify cell types and the activity of biological processes missed by other methods.

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