Multi-omics Predictive Modeling

Multi-Omics Predictive Modeling is a computational framework that integrates diverse omics data types to construct predictive models for phenotypic or clinical outcomes, distinguished from other modeling approaches by its explicit incorporation of multi-layered biological data to enhance prediction accuracy and biological interpretability.

148

Publications

10.2K

Citations

1K

Authors

507

Institutions

Publications per year

2017–2026

135

Authors

1K

  1. KC
    Kumardeep Chaudhary

    Institute of Microbial Technology, India

    4 publications · 1.5K citations

    4

    h-index

  2. OP
    Olivier Poirion

    University of California San Diego, United States

    4 publications · 1.5K citations

    4

    h-index

  3. RV
    Robert Vermeiren

    Leiden University Medical Center, Netherlands

    2 publications · 44 citations

    2

    h-index

  4. XL
    Xiusi Li

    Barking, Havering And Redbridge University Hospitals NHS Trust, United Kingdom

    2 publications · 52 citations

    2

    h-index

  5. HL
    Hyunju Lee

    Gwangju Institute of Science and Technology, South Korea

    2 publications · 56 citations

    2

    h-index

1–5 of 1K

Venues

  1. Briefings in Bioinformatics

    8 publications · 413 citations

    8

    h-index

  2. Bioinformatics

    7 publications · 1.7K citations

    7

    h-index

  3. Scientific Reports

    6 publications · 178 citations

    6

    h-index

  4. Computers in Biology and Medicine

    5 publications · 341 citations

    5

    h-index

  5. Nature Communications

    4 publications · 428 citations

    4

    h-index

1–5