Candidate Ranking Models
Candidate Ranking Model is a computational method that, within the context of drug repurposing, systematically prioritizes potential drug candidates by predicting their therapeutic potential against specific diseases based on integrated biological, chemical, or clinical evidence.
75
Publications
3.8K
Citations
310
Authors
169
Institutions
Publications per year
2017–2026
43
75
Machine learning identifies candidates for drug repurposing in Alzheimer’s disease
Steve Rodriguez, Clemens B. Hug, Petar V. Todorov et al. · Nature Communications · 2021 · 297 citations · Full text
On model selection criteria in multimodel analysis
Ming Ye, Philip D. Meyer, Shlomo P. Neuman · Water Resources Research · 2008 · 262 citations
Shitao Rao, Alexandria Lau, Hon‐Cheong So · Diabetes Care · 2020 · 258 citations
Unsupervised Keyphrase Extraction with Multipartite Graphs
Florian Boudin · 2018 · 176 citations · Full text
1–5 of 75
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Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 188 citations
2
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1–5 of 310
169

Universidad Central "Marta Abreu" de las Villas (UCLV)
Santa Clara, Cuba
3 h-index
12 publications
440 citations
Harvard University
Cambridge, United States
3 h-index
19 publications
4K citations

Peking University
Beijing, China
3 h-index
15 publications
949 citations

Universidade do Porto
Porto, Portugal
3 h-index
12 publications
450 citations
Artificial Intelligence in Medicine (Canada)
Toronto, Canada
2 h-index
2 publications
188 citations

Icahn School of Medicine at Mount Sinai
New York, United States
2 h-index
8 publications
752 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
2 publications
53 citations
Tongji University
Shanghai, China
2 h-index
10 publications
274 citations
1–8 of 169
Repository · 4 publications · 71 citations
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3 publications · 175 citations
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3 publications · 96 citations
3
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2 publications · 71 citations
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Repository · 2 publications · 47 citations
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