Benchmark of Data Processing Methods and Machine Learning Models for Gut 
Microbiome-Based Diagnosis of Inflammatory Bowel Disease

Kubinski, Ryszard; Djamen-Kepaou, Jean-Yves; Zhanabaev, Timur; Hernandez-Garcia, Alex; Bauer, Stefan; Hildebrand, Falk; Korcsmaros, Tamas; Karam, Sani; Jantchou, Prévost; Kafi, Kamran; Martin, Ryan D.

doi:10.3389/fgene.2022.784397

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Benchmark of Data Processing Methods and Machine Learning Models for Gut Microbiome-Based Diagnosis of Inflammatory Bowel Disease

Kubinski, R., Djamen-Kepaou, J.-Y., Zhanabaev, T., Hernandez-Garcia, A., Bauer, S., Hildebrand, F., et al. (2022). Benchmark of Data Processing Methods and Machine Learning Models for Gut Microbiome-Based Diagnosis of Inflammatory Bowel Disease. Frontiers in Genetics, 13: 784397. doi:10.3389/fgene.2022.784397.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-D09E-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-E4CB-D

Genre: Journal Article

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https://doi.org/10.3389/fgene.2022.784397 (Publisher version) Open Access Gold

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https://doi.org/10.1101/2021.05.03.442488 (Preprint) Open Access Green

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https://europepmc.org/article/MED/35251123 (Publisher version) Open Access Green

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Creators:
Kubinski, Ryszard ¹, Author
Djamen-Kepaou, Jean-Yves¹, Author
Zhanabaev, Timur¹, Author
Hernandez-Garcia, Alex ¹, Author
Bauer, Stefan², Author
Hildebrand, Falk ¹, Author
Korcsmaros, Tamas ¹, Author
Karam, Sani ¹, Author
Jantchou, Prévost ¹, Author
Kafi, Kamran ¹, Author
Martin, Ryan D.¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647

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Free keywords: Abt. Schölkopf

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Language(s): eng - English

Dates: Published Online: 2022-02-14Date issued: 2022

Publication Status: Issued

Pages: 22

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Table of Contents: -

Rev. Type: Peer

Identifiers: DOI: 10.3389/fgene.2022.784397
bioRxiv: 10.1101/2021.05.03.442488
BibTex Citekey: Kubinskietal22

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Title: Frontiers in Genetics

Source Genre: Journal

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Publ. Info: Lausanne : Frontiers Media

Pages: - Volume / Issue: 13 Sequence Number: 784397 Start / End Page: - Identifier: ISSN: 1664-8021
CoNE: https://pure.mpg.de/cone/journals/resource/1664-8021