A Bayesian method and its variational approximation for prediction of genomic breeding values in multiple traits. - Takeshi Hayashi 002; Hiroyoshi Iwata (BMC Bioinform., 2013)

RAINBOW: Haplotype-based genome-wide association study using a novel SNP-set method. - Kosuke Hamazaki; Hiroyoshi Iwata (PLoS Comput. Biol., 2020)

A Deep Learning Method to Impute Missing Values and Compress Genome-ide Polymorphism Data in Rice. - Tanzila Islam; Chyon Hae Kim; Hiroyoshi Iwata; Hiroyuki Shimono; Akio Kimura; Hein Zaw; Chitra Raghavan; Hei Leung; Rakesh Kumar Singh (BIOINFORMATICS, 2021)

DeepCGP: A Deep Learning Method to Compress Genome-Wide Polymorphisms for Predicting Phenotype of Rice. - Tanzila Islam; Chyon Hae Kim; Hiroyoshi Iwata; Hiroyuki Shimono; Akio Kimura (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Leveraging Large Language Models for Analyzing Climate Change Mitigation Technology Dissemination: A Case Study of Wind Power in the UK. - Kenji Yamada; Kosaku Nakano; Rintaro Tomita; Hiroyoshi Iwata; Seita Emori; Kenji Tanaka (TE, 2024)

Modeling soybean growth: A mixed model approach. - Maud Delattre; Yusuke Toda; Jessica Tressou; Hiroyoshi Iwata (PLoS Comput. Biol., 2024)

Quantitative Genetic Aspects of Accuracy of Tree Biomass Measurement Using LiDAR. - Haruka Sano; Naoko Miura; Minoru Inamori; Yamato Unno; Wei Guo 002; Sachiko Isobe; Kazutaka Kusunoki; Hiroyoshi Iwata (Remote. Sens., 2024)

I-SVVS: integrative stochastic variational variable selection to explore joint patterns of multi-omics microbiome data. - Tung Dang; Yushiro Fuji; Kie Kumaishi; Erika Usui; Shungo Kobori; Takumi Sato; Megumi Narukawa; Yusuke Toda; Kengo Sakurai; Yuji Yamasaki; Hisashi Tsujimoto; Masami Yokota Hirai; et al. (Briefings Bioinform., 2025)