Statistics versus machine learning
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Validation techniques to mitigate overfitting and increase robustness included 10-fold cross-validation, feature importance analysis, and Bayesian optimization.
“We employed several validation techniques to mitigate overfitting and increase robustness, including 10-fold cross-validation63, feature importance analysis65, and Bayesian optimization66.”
From The exposome of healthy and accelerated aging across 40 countries (2025) · cites this paper as [66]
Classification can be performed with many variables with nonlinear interactions.
“Classification can be performed with many variables with nonlinear interactions (Bzdok et al., 2018; Bzdok et al., 2017).”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Bzdok et al., 2018
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Cites
Lever, J., Krzywinski, M. I., & Altman, N. (2016) · Nature Methods · doi:10.1038/nmeth.3945 · Cited by 417 · see citing works
Self-citationEnsemble methods: bagging and random forests
Altman, N., & Krzywinski, M. I. (2017) · Nature Methods · doi:10.1038/nmeth.4438 · Cited by 330 · see citing works
Self-citationBzdok, D., Krzywinski, M., & Altman, N. (2017) · Nature Methods · doi:10.1038/nmeth.4526 · Cited by 246 · see citing works
Self-citationBzdok, D. (2017) · HAL · Cited by 160 · see citing works
Self-citationClassical Statistics and Statistical Learning in Imaging Neuroscience
Bzdok, D. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00543 · Cited by 159 · see citing works
Self-citationSampling distributions and the bootstrap
Kulesa, A. B., Krzywinski, M. I., Blainey, P. C., & Altman, N. (2015) · Nature Methods · doi:10.1038/nmeth.3414 · Cited by 156 · see citing works
Self-citationAnalyzing outliers: influential or nuisance?
Altman, N., & Krzywinski, M. I. (2016) · Nature Methods · doi:10.1038/nmeth.3812 · Cited by 121 · see citing works
Self-citationKrzywinski, M. I., & Altman, N. (2014) · Nature Methods · doi:10.1038/nmeth.2900 · Cited by 86 · see citing works
Self-citationAnalysis of variance and blocking
Krzywinski, M. I., & Altman, N. (2014) · Nature Methods · doi:10.1038/nmeth.3005 · Cited by 75 · see citing works
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Flagged first, then by citations
Research works printed but not linked: 2
- [4]Lever J Krzywinski M Altman N Nat Methods 13 603 604 2016 27482566
- [5]Altman N Krzywinski M Nat Methods 14 933 934 2017 PMC5905345 29664466
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“relationships between the predictor (independent) and response (dependent) variables.(35) The advancement of computing technologies and power as well as AI-driven data analytics offer the possibility that digitalization of phenomics can provide new solutions to these complex challenges.”
BackgroundSantamaría-García, H., Baez, S., Aponte-Canencio, D. M., Pasciarello, G. O., Donnelly-Kehoe, P. A., Maggiotti, G., Matallana, D., Hesse, E., Neely, A., Zapata, J. G., et al. (2021) · Patterns · doi:10.1016/j.patter.2020.100176 · Cited by 18 · see citing works
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- Authors
- Bzdok, D., Altman, N., & Krzywinski, M.
- Affiliations
- Centre Inria de Saclay (FR)
- Pennsylvania State University (US)
- Canada's Michael Smith Genome Sciences Centre (CA)
- Venue
- Nature Methods
- Published
- 2018-04
- Volume
- 15
- Issue
- 4
- Pages
- 233-234
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- PMC
- PMC6082636
- OpenAlex
- W2792919287
- Cited by
- 1,508
- References
- 9
- Citations by year
- 2026: 159 · 2025: 229 · 2024: 263 · 2023: 252 · 2022: 249 · 2021: 173 · 2020: 110 · 2019: 62 · 2018: 11
- FWCI
- 73.86
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Methods (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- HAL (submittedVersion, other-oa)
- Funders
- National Institute of Mental Health (R01MH074457)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Algorithms
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Keywords
- statistical inference, machine learning prediction
- MeSH terms
- Machine Learning, Data Interpretation, Statistical, Gene Expression Regulation, Models, Genetic
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