Negative Sample Selection

Negative Sample Selection is a methodological procedure in drug-target interaction prediction that identifies biologically implausible or non-interacting compound-target pairs to serve as controls, thereby enabling the training and validation of computational models by distinguishing true interactions from non-interactions.

127

Publications

8.4K

Citations

582

Authors

241

Institutions

Publications per year

2017–2026

66

Authors

582

  1. LP
    Lihong Peng

    Hunan University of Technology, China

    3 publications · 100 citations

    3

    h-index

  2. JY
    Jialiang Yang

    Cipher Gene (China), China

    2 publications · 71 citations

    2

    h-index

  3. JZ
    Jie Zheng

    Nanyang Technological University, Singapore

    2 publications · 385 citations

    2

    h-index

  4. MW
    Matthew Wiswall

    Arizona State University, United States

    2 publications · 252 citations

    2

    h-index

  5. SZ
    Sihang Zhou

    National University of Defense Technology, China

    2 publications · 243 citations

    2

    h-index

1–5 of 582

Venues

  1. Journal of Immunological Methods

    6 publications · 307 citations

    6

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 427 citations

    5

    h-index

  3. BMC Bioinformatics

    4 publications · 95 citations

    4

    h-index

  4. Briefings in Bioinformatics

    4 publications · 149 citations

    4

    h-index

  5. Clinical & Experimental Allergy

    3 publications · 129 citations

    3

    h-index

1–5