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  Interpretable Per Case Weighted Ensemble Method for Cancer Associations

Jalali, A., & Pfeifer, N. (2016). Interpretable Per Case Weighted Ensemble Method for Cancer Associations. BMC Genomics, 17: 501. doi:10.1186/s12864-016-2647-9.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-16A3-D Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-4BB8-E
Genre: Journal Article

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© 2016 Jalali and Pfeifer. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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 Creators:
Jalali, Adrin1, Author           
Pfeifer, Nico1, Author           
Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              

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Language(s): eng - English
 Dates: 20162016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: JalaliPfeifer2016
DOI: 10.1186/s12864-016-2647-9
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Title: BMC Genomics
Source Genre: Journal
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Publ. Info: London : BioMed Central
Pages: 10 p. Volume / Issue: 17 Sequence Number: 501 Start / End Page: - Identifier: ISSN: 1471-2164
CoNE: https://pure.mpg.de/cone/journals/resource/111000136905010