Intermediate Fusion

Intermediate Fusion is a multi-omics data integration strategy that belongs to the broader class of fusion techniques by combining latent representations or features extracted from multiple omics data types at an intermediate level of abstraction, distinguishing itself from early and late fusion approaches by preserving modality-specific nonlinear interactions before final decision-making.

51

Publications

3.4K

Citations

241

Authors

94

Institutions

Publications per year

2017–2026

29

Authors

241

  1. BC
    Bing Chen

    Harvard University, United States

    2 publications · 297 citations

    2

    h-index

  2. HL
    Hua‐Xin Liao

    Duke University, United States

    2 publications · 118 citations

    2

    h-index

  3. AP
    Antonello Pessi

    IRBM Science Park, Italy

    2 publications · 207 citations

    2

    h-index

  4. LL
    Lu Lu

    Fudan University, China

    2 publications · 83 citations

    2

    h-index

  5. SJ
    Shibo Jiang

    New York Blood Center, United States

    2 publications · 132 citations

    2

    h-index

1–5 of 241

Venues

  1. Journal of Virology

    JVI · 3 publications · 252 citations

    3

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 263 citations

    2

    h-index

  3. Journal of Biological Chemistry

    JBC · 2 publications · 120 citations

    2

    h-index

  4. 1

    h-index

  5. Nano Letters

    1 publications · 11 citations

    1

    h-index

1–5