Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions

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Published in:BMC bioinformatics Vol. 21; no. 1; pp. 1 - 495
Main Authors: Zaim, Samir Rachid, Kenost, Colleen, Berghout, Joanne, Chiu, Wesley, Wilson, Liam, Zhang, Hao Helen, Lussier, Yves A
Format: Journal Article
Language:English
Published: London BioMed Central Ltd 02-11-2020
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Abstract An amendment to this paper has been published and can be accessed via the original article.
AbstractList An amendment to this paper has been published and can be accessed via the original article.
[...]iterative random forests (iRF) [58] identify decision paths along random forests and captures their prevalence, therefore benefitting from a combinatoric feature space reduction in the interaction search. Rights and permissions Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. BMC Bioinformatics 21, 495 (2020). https://doi.org/10.1186/s12859-020-03822-w Download citation * Published: 02 November 2020 * DOI: https://doi.org/10.1186/s12859-020-03822-w Correction Open Access Published:02 November 2020 [/RAW_REF_TEXT] Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions [RAW_REF_TEXT] Samir Rachid Zaim1,2,3 , Colleen Kenost1,3 , Joanne Berghout1,3 , Wesley Chiu1,3 , Liam Wilson1,3 , Hao Helen Zhang 1,2,4 & Yves A. Lussier 1,2,3,5,6,7 [/RAW_REF_TEXT] BMC Bioinformatics volume 21, Article number: 495 (2020) Cite this article [RAW_REF_TEXT] 166 Accesses 1 Altmetric Metrics details The original article was published in BMC Bioinformatics 2020 21:374
ArticleNumber 495
Audience Academic
Author Berghout, Joanne
Chiu, Wesley
Zhang, Hao Helen
Wilson, Liam
Kenost, Colleen
Zaim, Samir Rachid
Lussier, Yves A
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[...]iterative random forests (iRF) [58] identify decision paths along random forests and captures their prevalence, therefore benefitting from a combinatoric...
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Title Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions
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