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Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning

Crossref DOI link: https://doi.org/10.1186/s12859-019-2853-y

Published Online: 2019-05-28

Published Print: 2019-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Konishi, Hiroki

Komura, Daisuke

Katoh, Hiroto

Atsumi, Shinichiro

Koda, Hirotomo

Yamamoto, Asami

Seto, Yasuyuki

Fukayama, Masashi

Yamaguchi, Rui

Imoto, Seiya

Ishikawa, Shumpei
Funding

Funding for this research was provided by:

Japan Agency for Medical Research and Development (JP18am0301011)

Japan Agency for Medical Research and Development (JP17cm0106514)

Japan Agency for Medical Research and Development (JP18cm010653)

Japan Agency for Medical Research and Development (JP18ak0101096)
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Text and Data Mining valid from 2019-05-28

Version of Record valid from 2019-05-28
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Article History

Received: 21 September 2017

Accepted: 26 April 2019

First Online: 28 May 2019

Ethics approval and consent to participate

: This study was approved by the institutional review boards of the University of Tokyo and Tokyo Medical and Dental University. Ninety frozen specimens of gastric cancer surgically resected between 2009 and 2016 at the University of Tokyo Hospital were analyzed in this study with written, informed consent from the patients.

: Not applicable.

: The authors declare that they have no competing interests.

: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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