Nobuhiro Hayashi

发表

All-Transfer Learning for Deep Neural Networks and Its Application to Sepsis Classification pdf

Yoshihide Sawada, Yoshikuni Sato, Toru Nakada, 2017, ECAI.

A Basic Study of Auction-based Planning and Scheduling for Cell Manufacturing

Toshiya Kaihara, Susumu Fujii, Kentaro Sashio, 2006, APMS.

116 急流工で発電する小型水車の開発 : 開放型クロスフローランナの検討(GS7-4 流体工学)

Shouichiro Iio, Toshihiko Ikeda, Nobuhiro Hayashi, 2010 .

Development of a Novel Q-body Using an In Vivo Site-Specific Unnatural Amino Acid Incorporation System

Nobuhiro Hayashi, Yoichi Kurumida, N. Hayashi, 2018, Sensors.

Unusual anticodon loop structure found in E.coli lysine tRNA

Takuya Ueda, Kin-ichiro Miura, Nobuhiro Hayashi, 1994, Nucleic Acids Res..

Diagnosis of Sepsis by AI-Aided Proteomics Using 2D Electrophoresis Images of Patient Serum Incorporating Transfer Learning for Deep Neural Networks

Yoshikuni Sato, Toru Nakada, Kei Ujimoto, 2021 .

Protein structure determination in living cells by in-cell NMR spectroscopy

Masaki Mishima, Peter Güntert, Markus Wälchli, 2009, Nature.

Myristoyl moiety of HIV Nef is involved in regulation of the interaction with calmodulin in vivo

Nobuhiro Hayashi, Keiichiro Hashimoto, N. Hayashi, 2005, Protein science : a publication of the Protein Society.

MYRbase: analysis of genome-wide glycine myristoylation enlarges the functional spectrum of eukaryotic myristoylated proteins

Michael Wildpaner, Fernanda L. Sirota, Sebastian Maurer-Stroh, 2004, Genome Biology.

Multiple biomarkers of sepsis identified by novel time-lapse proteomics of patient serum

Kei Ujimoto, Nobuhiro Hayashi, Takahiro Miki, 2019, PloS one.

Myristoylation-regulated direct interaction between calcium-bound calmodulin and N-terminal region of pp60v-src.

Nobuhiro Hayashi, Yoshinori Yamakawa, Yoshinobu Izumi, 2004, Journal of molecular biology.