Noel Southall
researcher
Facts
9 properties- Instance of
- human
- Occupation
- researcher
- Educated at
- University of California, San Francisco (?–2001)[3]
- Doctoral advisor
- Ken A. Dill[4]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Noel Southall
en Noel T Southall
🔖 Identifiers · 11
- ORCID iD
- 0000-0003-4500-880X
- OpenAlex ID
- A5036261394, A5135900013, A5140613184as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Academic Tree ID
- 146100
- DBLP author ID
- 148/2172
- Dimensions author ID
- 0640604566.07
- Google Knowledge Graph ID
- /g/11f65d48v5
- Google Scholar author ID
- cxBjtE0AAAAJ
- Publons author ID
- 2704752
- ResearcherID
- H-8991-2012
- Scopus author ID
- 16205566200, 57221057331
- Springer Nature person ID
- 0640604566.07
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 4
AI-driven discovery of synergistic drug combinations against pancreatic cancer,
Critical Assessment of Artificial Intelligence Methods for Prediction of hERG Channel Inhibition in the “Big Data” Era,
Novel Consensus Architecture To Improve Performance of Large-Scale Multitask Deep Learning QSAR Models,
Prediction of hERG Liability – Using SVM Classification, Bootstrapping and Jackknifing
← Authored by 4
AI-driven discovery of synergistic drug combinations against pancreatic cancer,
Critical Assessment of Artificial Intelligence Methods for Prediction of hERG Channel Inhibition in the “Big Data” Era,
Novel Consensus Architecture To Improve Performance of Large-Scale Multitask Deep Learning QSAR Models,
Prediction of hERG Liability – Using SVM Classification, Bootstrapping and Jackknifing
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