Points of Significance: Machine learning: A primer

Danilo Bzdok, Martin Krzywinski, Naomi S. Altman

Research output: Contribution to journalShort survey

10 Citations (Scopus)
Original languageEnglish (US)
Pages (from-to)1119-1120
Number of pages2
JournalNature methods
Volume14
Issue number12
DOIs
StatePublished - Dec 1 2017

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Biological Models
Hormones
Sensitivity and Specificity
Machine Learning

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biochemistry
  • Molecular Biology
  • Cell Biology

Cite this

Bzdok, D., Krzywinski, M., & Altman, N. S. (2017). Points of Significance: Machine learning: A primer. Nature methods, 14(12), 1119-1120. https://doi.org/10.1038/nmeth.4526
Bzdok, Danilo ; Krzywinski, Martin ; Altman, Naomi S. / Points of Significance : Machine learning: A primer. In: Nature methods. 2017 ; Vol. 14, No. 12. pp. 1119-1120.
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Bzdok, D, Krzywinski, M & Altman, NS 2017, 'Points of Significance: Machine learning: A primer', Nature methods, vol. 14, no. 12, pp. 1119-1120. https://doi.org/10.1038/nmeth.4526

Points of Significance : Machine learning: A primer. / Bzdok, Danilo; Krzywinski, Martin; Altman, Naomi S.

In: Nature methods, Vol. 14, No. 12, 01.12.2017, p. 1119-1120.

Research output: Contribution to journalShort survey

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Bzdok D, Krzywinski M, Altman NS. Points of Significance: Machine learning: A primer. Nature methods. 2017 Dec 1;14(12):1119-1120. https://doi.org/10.1038/nmeth.4526