Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Methods in Molecular Biology (Clifton, N.J.)|December 7, 2018
The Use of Large-Scale Chemically-Induced Transcriptome Data Acquired from LINCS to Study Small MoleculesMichio Iwata, Yoshihiro Yamanishi
Mathematical Biosciences|July 5, 2011
Highly accurate computation of dynamic sensitivities in metabolic reaction systems by a Taylor series methodFumihide Shiraishi, Masaaki Egashira, Michio Iwata
Bioinformatics (Oxford, England)|July 14, 2020
Network-based characterization of disease-disease relationships in terms of drugs and therapeutic targetsMidori Iida, Michio Iwata, Yoshihiro Yamanishi
Bioinformatics (Oxford, England)|June 27, 2022
From drug repositioning to target repositioning: prediction of therapeutic targets using genetically perturbed transcriptomic signaturesSatoko Namba, Michio Iwata, Yoshihiro Yamanishi
Molecular Informatics|October 18, 2019
Omics-based Identification of Glycan Structures as Biomarkers for a Variety of DiseasesSayaka Akiyoshi, Michio Iwata, Francois Berenger, et al.
BMC Bioinformatics|January 25, 2022
Epigenetic landscape of drug responses revealed through large-scale ChIP-seq data analysesZhaonan Zou, Michio Iwata, Yoshihiro Yamanishi, et al.
Molecular Informatics|June 25, 2025
Drug Search and Design Considering Cell Specificity of Chemically Induced Gene Expression Profiles for Disease-Associated TissuesChikashige Yamanaka, Michio Iwata, Kazuma Kaitoh, et al.
Mathematical Biosciences|December 3, 2013
Estimation of kinetic parameters in an S-system equation model for a metabolic reaction system using the Newton-Raphson methodMichio Iwata, Kansuporn Sriyudthsak, Masami Yokota Hirai, et al.
Bulletin of Mathematical Biology|May 8, 2014
PENDISC: a simple method for constructing a mathematical model from time-series data of metabolite concentrationsKansuporn Sriyudthsak, Michio Iwata, Masami Yokota Hirai, et al.
Nature Computational Science|January 4, 2024
Pathway trajectory analysis with tensor imputation reveals drug-induced single-cell transcriptomic landscapeMichio Iwata, Hiroaki Mutsumine, Yusuke Nakayama, et al.
Pageof 3