Publications

Journal articles, conference papers, and preprints. Formal DOI, PubMed, arXiv, or project links are used when verified.

Journals

  1. 2026
    Spontaneous dynamic gene expression of Schlafen 11 (SLFN11) demonstrated by single-cell RNA sequencing in clonal cancer cell lines

    Taniyama, D., Inoue, Y., et al.

    Oncogene (submitted).

  2. 2026
    DrugAgent: Reliable Multi-Agent Aggregation under Conflicting Biomedical Evidence

    Inoue, Y., Song, T., Wang, X., Luna, A., & Fu, T.

    Scientific Reports (under revision).

  3. 2026
    Drug Discovery in the Era of Artificial Intelligence: From Target Identification to Clinical Trials

    Inoue, Y., Hao, N., Lu, Y., Fu, T., & Luna, A.

    Health Data Science (accepted).

  4. 2026
    TRPM4 Expression as a Predictive Biomarker and a Mechanistic Driver of Acetalax Activity in Prostate Cancer: Preclinical Efficacy Studies

    Hoshi-Kadonosawa, Y., Reinhold, W. C., Taniyama, D., Inoue, Y., et al.

    Molecular Cancer Therapeutics.

  5. 2026
    drGT: Interpretable Drug Response Prediction with Attention-Guided Gene Attribution on a Drug-Cell-Gene Heterogeneous Graph

    Inoue, Y., Lee, H., Fu, T., Kuang, R., & Luna, A.

    BMC Bioinformatics.

  6. 2026
    CellMiner cross-database (CellMinerCDB) version 2.2 for explorations of patient-derived cancer cell line pharmacogenomics

    Elloumi, F., Reinhold, W. C., Varma, S., et al., Inoue, Y., et al.

    Nucleic Acids Research.

Conferences & preprints

  1. 2026
    DrugAgent: Reliable Multi-Agent Aggregation under Conflicting Biomedical Evidence

    ICML 2026 Workshop on FM4LS.

  2. 2025
    GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction

    ICLR 2025 Workshop on MLGenX · arXiv:2504.05454.

  3. 2025
    DrugAgent: Explainable Drug Repurposing Agent with Large Language Model-based Reasoning

    ICLR 2025 Workshop on MLGenX.

  4. 2024
    BiGCN: Leveraging Cell and Gene Similarities for Single-cell Transcriptome Imputation with Bi-Graph Convolutional Networks

    Inoue, Y., Kulman, E., & Kuang, R.

    bioRxiv.