binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions ; volume:21 ; number:1 ; day:28 ; month:8 ; year:2020 ; pages:1-22 ; date:12.2020
BMC bioinformatics ; 21, Heft 1 (28.8.2020), 1-22, 12.2020
- Creator
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Rachid Zaim, Samir
Kenost, Colleen
Berghout, Joanne
Chiu, Wesley
Wilson, Liam
Zhang, Hao Helen
Lussier, Yves A.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12859-020-03718-9
- URN
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urn:nbn:de:101:1-2020101622562780745214
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:55 AM CEST
Data provider
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Associated
- Rachid Zaim, Samir
- Kenost, Colleen
- Berghout, Joanne
- Chiu, Wesley
- Wilson, Liam
- Zhang, Hao Helen
- Lussier, Yves A.
- SpringerLink (Online service)
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Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions
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Correction: Sandwiching dense random regular graphs between binomial random graphs
Convergence of binomial large investor models and general correlated random walks
CHARACTERIZATION OF THE SUM OF BINOMIAL RANDOM VARIABLES UNDER RANKED SET SAMPLING
Multiplicative-Binomial Distribution: Some Results on Characterization, Inference and Random Data Generation
Random uptake of nanoparticles by cells and negative binomial distributions of pits
Explicit constants in the nonuniform local limit theorem for Poisson binomial random variables
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On bounds in Poisson approximation for distributions of independent negative-binomial distributed random variables