Graphical Model-based Reconstruction

Graphical Model-Based Reconstruction is a methodological framework within pathway reconstruction that employs probabilistic graphical models to represent and infer biological pathway structures by explicitly modeling conditional dependencies among molecular entities.

14

Publications

490

Citations

34

Authors

31

Institutions

Publications per year

2017–2026

6

Authors

34

  1. HM
    Hong-Yuan Mark Liao

    Institute of Information Science, Academia Sinica, Taiwan

    1 publications · 11 citations

    1

    h-index

  2. DR
    Daniele Ramazzotti

    University of Milano-Bicocca, Italy

    1 publications · 74 citations

    1

    h-index

  3. SA
    Séverine Affeldt

    Sorbonne Université, France

    1 publications · 29 citations

    1

    h-index

  4. CL
    Chia‐Wen Lin

    National Tsing Hua University, Taiwan

    1 publications · 11 citations

    1

    h-index

  5. IL
    Iryna Lutsyk

    Ternopil Volodymyr Hnatiuk National Pedagogical University, Ukraine

    1 publications · 12 citations

    1

    h-index

1–5 of 34

Venues

  1. New Journal of Physics

    NJP · 1 publications · 29 citations

    1

    h-index

  2. PLoS ONE

    1 publications · 74 citations

    1

    h-index

  3. IEEE Transactions on Image Processing

    1 publications · 11 citations

    1

    h-index

  4. Communications Physics

    1 publications · 100 citations

    1

    h-index

  5. Journal of Archaeological Method and Theory

    1 publications · 13 citations

    1

    h-index

1–5