Causal Integration Of Transcriptomics

Causal Integration of Transcriptomics is a computational framework that identifies and models causal relationships between transcriptomic profiles and higher-level phenotypic or molecular outcomes by integrating transcriptomics data with complementary omics layers through causal inference principles.

5

Publications

1.4K

Citations

73

Authors

30

Institutions

Publications per year

2017–2026

3

Authors

73

  1. MN
    Matthias Nauck

    Universitätsmedizin Greifswald, Germany

    1 publications · 139 citations

    1

    h-index

  2. SA
    Stephanie A. Monks

    University of Washington, United States

    1 publications · 1.1K citations

    1

    h-index

  3. YD
    Yue‐Ting Deng

    Fudan University, China

    1 publications · 135 citations

    1

    h-index

  4. QD
    Qiang Dong

    Huashan Hospital, China

    1 publications · 135 citations

    1

    h-index

  5. HZ
    Haoyuan Zhu

    Merck & Co., Inc., Rahway, NJ, USA (United States), United States

    1 publications · 1.1K citations

    1

    h-index

1–5 of 73

Venues

  1. BMC Systems Biology

    1 publications · 17 citations

    1

    h-index

  2. Nature Genetics

    1 publications · 1.1K citations

    1

    h-index

  3. Molecular Psychiatry

    1 publications · 135 citations

    1

    h-index

  4. Nature Communications

    1 publications · 139 citations

    1

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 21 citations

    1

    h-index

1–5