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
127
Mean-shift blob tracking through scale space
Robert T. Collins · 2003 · 800 citations
Improving compound–protein interaction prediction by building up highly credible negative samples
Hui Liu, Jianjiang Sun, Jihong Guan et al. · Bioinformatics · 2015 · 366 citations · Full text
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
Liwei Cai, William Yang Wang · 2018 · 276 citations · Full text
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Chinese Academy of Sciences
Beijing, China
5 h-index
19 publications
568 citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
9 publications
301 citations
University of Washington
Seattle, United States
4 h-index
15 publications
470 citations
Harvard University
Cambridge, United States
4 h-index
12 publications
203 citations

National University of Defense Technology
Changsha, China
3 h-index
19 publications
1.9K citations

Birkbeck, University of London
London, United Kingdom
3 h-index
4 publications
477 citations
University of Technology Sydney
Sydney, Australia
3 h-index
12 publications
440 citations
Tsinghua University
Beijing, China
3 h-index
6 publications
600 citations
1–8 of 241
6 publications · 307 citations
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Conference · 5 publications · 427 citations
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4 publications · 95 citations
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4 publications · 149 citations
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3 publications · 129 citations
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