Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm. - Michio Iwata; Longhao Yuan; Qibin Zhao; Yasuo Tabei; Francois Berenger; Ryusuke Sawada; Sayaka Akiyoshi; Momoko Hamano; Yoshihiro Yamanishi (Bioinform., 2019)

Network-based characterization of disease-disease relationships in terms of drugs and therapeutic targets. - Midori Iida; Michio Iwata; Yoshihiro Yamanishi (Bioinform., 2020)

TRANSDIRE: data-driven direct reprogramming by a pioneer factor-guided trans-omics approach. - Ryohei Eguchi; Momoko Hamano; Michio Iwata; Toru Nakamura; Shinya Oki; Yoshihiro Yamanishi (Bioinform., 2022)

Small compound-based direct cell conversion with combinatorial optimization of pathway regulations. - Toru Nakamura; Michio Iwata; Momoko Hamano; Ryohei Eguchi; Jun-ichi Takeshita; Yoshihiro Yamanishi (Bioinform., 2022)

From drug repositioning to target repositioning: prediction of therapeutic targets using genetically perturbed transcriptomic signatures. - Satoko Namba; Michio Iwata; Yoshihiro Yamanishi (Bioinform., 2022)

Epigenetic landscape of drug responses revealed through large-scale ChIP-seq data analyses. - Zhaonan Zou; Michio Iwata; Yoshihiro Yamanishi; Shinya Oki (BMC Bioinform., 2022)

Pathway trajectory analysis with tensor imputation reveals drug-induced single-cell transcriptomic landscape. - Michio Iwata; Hiroaki Mutsumine; Yusuke Nakayama; Naomasa Suita; Yoshihiro Yamanishi (Nat. Comput. Sci., 2022)

Network-based identification of diagnosis-specific trans-omic biomarkers via integration of multiple omics data. - Md. Mamunur Rashid; Momoko Hamano; Midori Iida; Michio Iwata; Toshiyuki Ko; Seitaro Nomura; Issei Komuro; Yoshihiro Yamanishi (Biosyst., 2024)