Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

View all journals
Search
Log in

nature
search

Search

Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Scientific Reports (4)
Nature Communications (1)
npj Systems Biology and Applications (1)
Nature Computational Science (1)
Communications Medicine (1)

Choose more journals

Article type Check one or more article types to show results from those article types only.

Research (8)

Subject Check one or more subjects to show results from those subjects only.

Biological techniques
Cardiology
Chemical biology
Computational biology and bioinformatics
Diseases
Drug discovery
Medical research
Systems biology

Date Choose a date option to show results from those dates only.

Today
Last 7 days
Last 30 days
Last 12 months
Last 2 years
Last 5 years

Custom date range

Clear all filters

Sort by:

Relevance

Date published (new to old)

Date published (old to new)

Showing 1–8 of 8 results

Advanced filters: Author: Yoshihiro Yamanishi Clear advanced filters

Therapeutic target prediction for orphan diseases integrating genome-wide and transcriptome-wide association studies

Identifying therapeutic targets is challenging, especially for orphan diseases. Here, the authors integrate GWAS and TWAS with machine learning methods to predict therapeutic targets for various diseases and demonstrate the usefulness in practice.

Satoko Namba
Michio Iwata
Yoshihiro Yamanishi
ResearchOpen Access18 Apr 2025
Nature Communications

Volume: 16, P: 1-15
Pathway trajectory analysis with tensor imputation reveals drug-induced single-cell transcriptomic landscape

A method is proposed to predict drug-induced single-cell gene-expression profiles with tensor imputation, detect cell type-specific maker genes, and identify the trajectories of regulated pathways considering intercellular heterogeneity.

Michio Iwata
Hiroaki Mutsumine
Yoshihiro Yamanishi
ResearchOpen Access24 Nov 2022
Nature Computational Science

Volume: 2, P: 758-770
A network-based trans-omics approach for predicting synergistic drug combinations

Iida et al. predict synergistic drug combinations using a computational method termed SyndrumNET. Validation of predictions in chronic myeloid leukemia using in vitro cell survival assays reveal synergistic anticancer effects in 14 of 17 top predicted drug pairings.

Midori Iida
Yurika Kuniki
Yoshihiro Yamanishi
ResearchOpen Access29 Jul 2024
Communications Medicine

Volume: 4, P: 1-16
Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures

Ryusuke Sawada
Michio Iwata
Yoshihiro Yamanishi
ResearchOpen Access09 Jan 2018
Scientific Reports

Volume: 8, P: 1-9
Elucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomics

Michio Iwata
Ryusuke Sawada
Yoshihiro Yamanishi
ResearchOpen Access10 Jan 2017
Scientific Reports

Volume: 7, P: 1-15
Regulome-based characterization of drug activity across the human diseasome

Michio Iwata
Keisuke Kosai
Yoshihiro Yamanishi
ResearchOpen Access07 Nov 2022
npj Systems Biology and Applications

Volume: 8, P: 1-10
Prediction of single-cell mechanisms for disease progression in hypertrophic remodelling by a trans-omics approach

Momoko Hamano
Seitaro Nomura
Yoshihiro Yamanishi
ResearchOpen Access14 Apr 2021
Scientific Reports

Volume: 11, P: 1-17
KampoDB, database of predicted targets and functional annotations of natural medicines

Ryusuke Sawada
Michio Iwata
Yoshihiro Yamanishi
ResearchOpen Access25 Jul 2018
Scientific Reports

Volume: 8, P: 1-11