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Points of Significance

Statistics versus machine learning

Nature Methods volume 15, pages 233–234 (2018)Cite this article

Statistics draws population inferences from a sample, and machine learning finds generalizable predictive patterns.

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Figure 1: Simulated expression and RNA-seq read counts for 40 genes in which the last 10 genes (A–J) are differentially expressed across two phenotypes (−/+).
The alternative text for this image may have been generated using AI.
Figure 2: Analysis of gene ranking by classical inference and ML.
The alternative text for this image may have been generated using AI.

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Author information

Authors and Affiliations

  1. Department of Psychiatry, RWTH Aachen University, Germany

    Danilo Bzdok

  2. INRIA/Neurospin Saclay, France

    Danilo Bzdok

  3. Professor of Statistics at The Pennsylvania State University,

    Naomi Altman

  4. staff scientist at Canada's Michael Smith Genome Sciences Centre,

    Martin Krzywinski

Authors
  1. Danilo Bzdok
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  2. Naomi Altman
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  3. Martin Krzywinski
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The authors declare no competing financial interests.

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Bzdok, D., Altman, N. & Krzywinski, M. Statistics versus machine learning. Nat Methods 15, 233–234 (2018). https://doi.org/10.1038/nmeth.4642

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