Supervised Contact Prediction

Supervised Contact Prediction is a computational method in structural bioinformatics that, belonging to the class of contact prediction techniques, specifically utilizes labeled training data consisting of known residue-residue contacts to learn predictive models through supervised machine learning algorithms.

5

Publications

118

Citations

20

Authors

9

Institutions

Publications per year

2017–2026

3

Authors

20

  1. SS
    Sanjay Singh

    Chaudhary Charan Singh University, India

    1 publications · 33 citations

    1

    h-index

  2. RA
    Raheem Al‐Sabur

    University of Basrah, Iraq

    1 publications · 13 citations

    1

    h-index

  3. KN
    Ken Nagata

    Research Institute for Brain and Blood Vessels Akita, Japan

    1 publications · 36 citations

    1

    h-index

  4. VR
    Vikranth Racherla

    Indian Institute of Technology Kharagpur, India

    1 publications · 33 citations

    1

    h-index

  5. MM
    Morag McArthur

    Australian Catholic University, Australia

    1 publications · 24 citations

    1

    h-index

1–5 of 20

Venues

  1. Expert Systems with Applications

    1 publications · 33 citations

    1

    h-index

  2. Materials Today Proceedings

    1 publications · 13 citations

    1

    h-index

  3. PLoS Computational Biology

    1 publications · 12 citations

    1

    h-index

  4. 1

    h-index

  5. Research Bank (Australian Catholic University)

    Repository · 1 publications · 24 citations

    1

    h-index

1–5