DDBJ Data Analysis Challenge: a machine learning competition to predict <i>Arabidopsis</i> chromatin feature annotations from DNA sequences-Reference-Cited by-同舟云学术

DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences

Published:2020-02-01 Issue:1 Volume:95 Page:43-50
ISSN:1341-7568
Container-title:Genes & Genetic Systems
language:en
Short-container-title:Genes Genet. Syst.

Author:

Kaminuma Eli¹,Baba Yukino²,Mochizuki Masahiro³,Matsumoto Hirotaka⁴,Ozaki Haruka⁴,Okayama Toshitsugu⁵,Kato Takuya⁶,Oki Shinya⁷,Fujisawa Takatomo¹,Nakamura Yasukazu¹,Arita Masanori¹,Ogasawara Osamu¹,Kashima Hisashi²,Takagi Toshihisa¹⁸

Affiliation:

1. Center for Information Biology, National Institute of Genetics

2. Graduate School of Informatics, Kyoto University

3. IMSBIO Co., Ltd.

4. Laboratory for Bioinformatics Research, RIKEN Center for Biosystems Dynamics Research

5. BITS Co., Ltd.

6. Graduate School of Information Science and Technology, The University of Tokyo

7. Graduate School of Medical Sciences, Kyushu University

8. Graduate School of Science, The University of Tokyo

Publisher

Genetics Society of Japan

Subject

Genetics,Molecular Biology,General Medicine

Link

https://www.jstage.jst.go.jp/article/ggs/95/1/95_19-00034/_pdf

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