The Molecular Biology Society of Japan

[2LBA-015] Highlights of the DDBJ Data Analysis Challenge : Task Design Rules for a Machine Learning Competition

〇Eli Kaminuma1, Yukino Baba2, Masahiro Mochizuki3, Hirotaka Matsumoto4, Haruka Ozaki4, Toshitsugu Okayama5, Takuya Kato6, Shinya Oki7, Satoshi Ogasawara1, Hisashi Kashima2, Toshihisa Takagi1 (1.Ctr for Info Biol , NIG, 2.Grad Sch of Info, Kyoto Univ, 3.IMSBIO Co., Ltd, 4.RIKEN・ACCC・BiT, 5.BITS Inc., 6.Grad Sch of Info Sci Tech, Tokyo Univ, 7.Grad Sch of Med Sci, Kyushu Univ)

DDBJ, Machine Learning Competition, Predictive Modelling, Sequence Read Archive, Crowdsourced Task Design

This archive has moved to the member page of The Molecular Biology Society of Japan.
Members of the either society can access the abstracts via links at the member page of the sites.
Please feel free to contact the journal offices for any inquiries.

Password