Kosuke Hamazaki

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Mass Spectrometry

Genetic Diversity

Top Venues

The plant genome

Plant phenomics (Washington, D.C.)

PLoS computational biology

This page only lists publications with an associated author ORCID identifier.

Publications

Mashiro Okada, Clément Barras, Yusuke Toda, Kosuke Hamazaki, Yoshihiro Ohmori, Yuji Yamasaki, Hirokazu Takahashi, Hideki Takanashi, Mai Tsuda, Masami Yokota Hirai, Hisashi Tsujimoto, Akito Kaga, Mikio Nakazono, Toru Fujiwara, Hiroyoshi Iwata
High-Throughput Phenotyping of Soybean Biomass: Conventional Trait Estimation and Novel Latent Feature Extraction Using UAV Remote Sensing and Deep Learning Models. Plant phenomics (Washington, D.C.) 6 (2024)
Sei Kinoshita, Kengo Sakurai, Kosuke Hamazaki, Takahiro Tsusaka, Miki Sakurai, Terue Kurosawa, Youichi Aoki, Kenta Shirasawa, Sachiko N Isobe, Hiroyoshi Iwata
Assessing the Potential for Genome-Assisted Breeding in Red Perilla Using Quantitative Trait Locus Analysis and Genomic Prediction. Genes 14 (12) (2023)
Sei Kinoshita, Kengo Sakurai, Kosuke Hamazaki, Takahiro Tsusaka, Miki Sakurai, Terue Kurosawa, Youichi Aoki, Kenta Shirasawa, Sachiko N Isobe, Hiroyoshi Iwata
Assessing the Potential for Genome-Assisted Breeding in Red Perilla Using Quantitative Trait Locus Analysis and Genomic Prediction. Genes 14 (12) (2023)
Sei Kinoshita, Kengo Sakurai, Kosuke Hamazaki, Takahiro Tsusaka, Miki Sakurai, Terue Kurosawa, Youichi Aoki, Kenta Shirasawa, Sachiko N Isobe, Hiroyoshi Iwata
Assessing the Potential for Genome-Assisted Breeding in Red Perilla Using Quantitative Trait Locus Analysis and Genomic Prediction. Genes 14 (12) (2023)
Kosuke Hamazaki, Hiroyoshi Iwata
Bayesian optimization of multivariate genomic prediction models based on secondary traits for improved accuracy gains and phenotyping costs. TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik (2021)
Kosuke Hamazaki, Hiroyoshi Iwata
RAINBOW: Haplotype-based genome-wide association study using a novel SNP-set method. PLoS computational biology 16 (2) (2020)
Kosuke Hamazaki, Hiromi Kajiya-Kanegae, Masanori Yamasaki, Kaworu Ebana, Shiori Yabe, Hiroshi Nakagawa, Hiroyoshi Iwata
Choosing the optimal population for a genome-wide association study: A simulation of whole-genome sequences from rice. The plant genome 13 (1) (2020)